Industry leaders consider CI/CD to be an essential part of the app development cycle as enterprises are keen to reduce the time to market. Continuous integration and continuous delivery help in improving and enhancing the quality of the product while reducing the cost of the project. This blog will help you understand the of a functioning CI/CD pipeline, its challenges, and its benefits. Before we get into the details, let’s have a look at the basic terminology.
Continuous Integration
Continuous integration (CI) is a software development practice where developers frequently make changes in the code and add it to the central repository after which automated tests are run. CI is the integration stage of the software release process which depends on automation and constant integration. The main goal is to find the bugs and resolve the issue quickly to improve the software quality and reduce the time to market.
In continuous integration, developers focus on smaller commits several times a day. Developers pull the code from the repository before pushing it to the build server where the build server runs various tests to verify the code commit.
Continuous Delivery
Continuous delivery is a software development practice that ensures a faster and stable release of the changes in the code. In this, the changes are automatically built, tested, and prepared for production release. The code changes are deployed to a testing environment or a production environment after the build stage is completed. When continuous delivery is implemented, developers always have a deployment-ready build artifact that has passed through a standard test process. In continuous development, the code revisions to a production environment automatically which allows for a continuous feedback loop early in the development cycle.
Continuous Deployment
Continuous deployment is a bit similar to continuous delivery but is a step further towards process automation. The change that passes through all the production stages is released to the client directly without the need for any human intervention. Continuous deployment accelerates the feedback loop as only a failed test will stop the change from getting deployed to production.
Continuous Testing
It is the practice of executing automated tests throughout the software development life cycle. Instead of the old testing method where testing occurs at the end of the software development cycle, CT occurs at multiple stages, including development, integration, pre-release, and in production. It is done to ensures that bugs are caught and fixed at the earlier stages in the development process, saving a significant amount of time and money.
While building an application that will be deployed on the live servers there will be a team of developers responsible to write the code. The developers commit the code into a version control system like Git, from where it goes to the build phase. The built is then sent to the next phase with a proper version tag.
For instance, you have a code that needs to be compiled before execution. When the code enters the built phase, all the features of the code are merged from various repositories and compiled using a compiler.
The next phase is the testing phase where various types of testing are performed. Sanity testing and unit testing are the most crucial part of this process as individual units of the built are tested to check if they meet the requirements.
The builds are moved to the deployment phase after passing the test and then pushed into a test server. Here developers simulate the product in a production-like environment to examine the features.
Before the build features are deployed to production, the automation test phase will perform the final tests to qualify the features. continuous testing is implemented in this phase to ensure there are no bugs remaining.
In case there is an error at any stage of the CI/CD pipeline, feedback will be sent to the development team so that issues are addressed immediately. Thereafter, code changes will go through the production pipeline once again.
In the final phase, the code is moved to the production server after code passes all the tests. The constant feedback loop helps make the CI/CD pipeline a closed process where builds are continuously committed, tested, and deployed to production.
Challenges in CI/CD Pipeline
Limited environments
During the CI/CD pipeline implementation, a limited number of shared test environments increases the risks of a bottleneck. You would need to reserve an environment to avoid multiple CI/CD pipelines running side by side from attempting to deploy and test in the same environment. One of the leading causes of deployment failures is misconfigured environments modified by previous teams or test runs.
Security and Ownership
Sometimes it’s difficult to know who needs to fix the pipeline when the stages fail as delivery pipelines span multiple teams in an organization. An owner has to be assigned at every stage of the CI/CD pipeline who will be responsible to fix the issues and ensuring that the delivery runs smoothly. The owner will also contribute to the feedback-driven improvement of the pipeline.
The orchestration tool used by the team should have an effective security model that could provide better visibility into the state of the entire CI/CD pipeline. For instance, to identify the causes of test failure, the team would have to examine the result of the test phase. But they should not be given permission to modify or disable the configuration of that test step.
Managing multiple custom CI/CD pipelines
There will be multiple CI/CD pipelines in large organizations as they have diverse portfolios spanning different departments, technology platforms, and customers. It would be difficult to analyze metrics like throughput, successful execution, and cycle time if every pipeline ends at different stages in the delivery process. It’s easier to manage a large set of CI/CD pipelines if each one is based on a standard template. This will help in meaningful comparative reporting and it will provide useful feedback to improve other pipelines.
Massive applications
Large apps with several components that need to be compiled, tested and deployed are tough to update incrementally which leads to long testing and deployment cycles. It’s harder to perform quality control and root cause analysis as multiple teams commit several changes at the same time. It’s difficult to create a standardized delivery pipeline as the release process needs to differ slightly. Teams often initiate a workstream to incrementally break out components of the app into different modules so that they can be built and deployed separately, allowing for faster feedback cycles with smaller sets of code changes.
Complex Branching Strategies: Navigating complex branching strategies can be a significant challenge in CI/CD pipelines. Without a clear and consistent strategy, such as GitFlow or trunk-based development, teams may struggle with merge conflicts, delayed features, and integration issues. Establishing a streamlined branching strategy that aligns with the CI/CD objectives is crucial for minimizing integration headaches and facilitating continuous integration.
Handling Dependencies: Modern applications often rely on numerous external libraries and services. Managing these dependencies can become a challenge, particularly when updates to dependencies break the build or introduce vulnerabilities. Effective dependency management tools and practices, such as semantic versioning and automated dependency updates, are essential to maintain the stability and security of the CI/CD pipeline.
Flaky Tests: Automated tests are the backbone of CI/CD pipelines, ensuring that code changes do not introduce regressions. However, flaky tests, which produce inconsistent results, can undermine confidence in the build process. Addressing test flakiness requires a disciplined approach to test writing, including isolating tests from external dependencies and ensuring that tests are deterministic.
Scaling the Pipeline: As projects grow in complexity and team size, scaling the CI/CD pipeline can become a challenge. Issues such as increased build times, resource contention, and the management of parallel jobs need to be addressed. Techniques such as build matrix reduction, parallel test execution, and the use of scalable cloud resources can help maintain pipeline efficiency at scale.
Third-Party Integrations: CI/CD pipelines often integrate with various third-party services for code analysis, deployment, monitoring, and more. Managing these integrations, especially when dealing with API rate limits, service downtimes, or incompatible updates, requires careful planning and fallback mechanisms to ensure the pipeline’s resilience.
Avoiding Configuration Drift: Ensuring consistency across development, testing, staging, and production environments is crucial. Configuration drift, where environments become inconsistent over time, can lead to “works on my machine” issues and deployment failures. Infrastructure as Code (IaC) tools and practices can help mitigate this risk by codifying environment configurations and making them part of the version-controlled repository.
Skill Gaps: Implementing and maintaining a CI/CD pipeline requires a broad set of skills, including coding, automation, infrastructure management, and security. Talent gaps in these areas can hinder the effectiveness of CI/CD initiatives. Continuous learning and cross-training, along with the hiring or consulting with experts, are strategies to overcome these challenges.
Why CI/CD matters
CI/CD provides several benefits for your software development team including improving developer productivity, automating the process, improving code quality, and delivering updates to your customers faster. Let’s have a look at some more benefits of implementing a CI/CD pipeline.
Improve Developer Productivity
CI/CD practices enhance your team’s productivity by freeing developers from manual tasks, working on complex dependencies, and returning focus to delivering new features. Instead of integrating their code with other parts of the business and spending time on how to deploy this code to a platform, developers can focus on coding logic that delivers the features you need.
Automated Software Release Process
Continuous delivery provides a method for your team to check-in code that is automatically built, tested, and prepared for release to production so that your software delivery is efficient, resilient, rapid, and secure.
Improve Code Quality
CD can help you discover and address bugs early in the delivery process before they grow into larger problems later. Your team can easily perform additional types of code tests because the entire process has been automated. With the discipline of more testing more frequently, teams can iterate faster with immediate feedback on the impact of changes. This enables teams to drive quality code with a high assurance of stability and security. Developers will know through immediate feedback whether the new code works and whether any breaking changes or bugs were introduced. Mistakes caught early on in the development process are the easiest to fix.
Deliver Updates Faster
CD helps your team deliver updates to customers quickly and frequently. When CI/CD is implemented, the velocity of the entire team, including the release of features and bug fixes, is increased. Enterprises can respond faster to market changes, security challenges, customer needs, and cost pressures. For example, if a new security feature is required, your team can implement CI/CD with automated testing to introduce the fix quickly and reliably to production systems with high confidence. What used to take weeks and months can now be done in days or even hours.
In a Nutshell
Continuous integration and continuous delivery is an ideal solution for an organization’s app development teams. Developers just need to push the code to a repository. The code will be integrated, tested, deployed, tested again, merged with infrastructure, go through security and quality reviews, and be ready to deploy with extremely high confidence. A CI/CD pipeline helps improve code quality and software updates are delivered quickly.
In the dynamic world of software development, ensuring the reliability and stability of your application is of utmost importance. Unit testing stands as a first line of defense against bugs and errors, playing a crucial role in securing the application’s robustness. Let’s delve deeper into the intriguing world of unit testing, beginning with what it is and then exploring its indispensable role in modern app development.
What is Unit testing?
Unit testing, a fundamental practice in app development, is the process of testing individual units or components of a software application. It is generally conducted during the development phase, primarily by developers, to validate that each unit of the software performs as designed.
A “unit” in this context refers to the smallest part of a software system that can be tested in isolation. It might be a function, method, procedure, or an individual module, depending on the complexity of the software. The primary goal is to validate that each unit functions correctly and meets its design specifications.
Importance of Unit Testing
Below, we delve into the importance of unit testing in the realms of web and mobile applications:
1. Early Bug Detection
Unit testing allows developers to identify bugs early in the development cycle, which not only saves time but also significantly reduces the cost of bug fixing. Early bug detection ensures that issues are nipped in the bud before they escalate to more critical stages.
2. Facilitating Changes and Refactoring
With a well-established unit testing practice, developers can make changes to the code or refactor it with confidence. Unit tests act as a safety net, helping to identify unforeseen impacts of the modifications, thus ensuring the consistency of the application.
3. Enhanced Code Quality
When developers write unit tests, it naturally leads to better code quality. Developers are more likely to write testable, modular, and maintainable code, fostering an environment of excellence in code craftsmanship.
4. Improved Developer Productivity
Unit testing can significantly improve developer productivity. Since bugs are caught early, developers spend less time debugging and more time building new features. Moreover, the immediate feedback provided by unit tests helps streamline the development process.
5. Simplified Debugging
When a unit test fails, it is much easier to identify and fix the issue, as you only need to consider the latest changes. This contrasts sharply with higher-level tests where a failure might be the result of a myriad of factors, making debugging a complex and time-consuming task.
6. Seamless Integration
Unit tests facilitate smoother integration processes. When integrating various components or modules, unit tests can quickly pinpoint issues at the unit level, making the integration process more efficient and less error-prone.
7. Robust Security
In web and mobile applications, security is paramount. Unit testing helps in identifying vulnerabilities at the code level, allowing developers to fortify the application against potential security breaches, thus safeguarding user data and privacy.
8. Customer Satisfaction
By ensuring the stability and reliability of web and mobile applications through unit testing, developers can significantly enhance customer satisfaction. A bug-free, smooth-running application is more likely to earn user trust and build a loyal customer base.
How to Perform Unit Testing
Performing unit testing is an essential practice in ensuring the robustness and reliability of your application. Whether you are working on a mobile or web application, incorporating unit testing into your development process can help you deliver a high-quality product. Here is a step-by-step guide to effectively performing unit testing on apps:
Step 1: Understanding the Codebase
Before you start with unit testing, familiarize yourself with the codebase and understand the functionalities of different units. Having a clear picture will aid in writing more effective and relevant tests.
Step 2: Setting Up the Testing Environment
Set up a separate testing environment where the unit tests will be executed. This environment should be isolated from production to avoid any unintended consequences. Utilize unit testing frameworks suitable for your programming language to streamline the process.
Step 3: Writing Unit Tests
3.1 Choose the Units to be Tested
Identify the critical components that need testing. Start with the core functionalities that form the backbone of your application.
3.2 Create Test Cases
For each unit, create test cases that cover various scenarios including edge cases. Each test case should focus on a single functionality.
3.3 Mock External Dependencies
Use mocking frameworks to simulate external dependencies, ensuring the unit is tested in isolation. This helps in pinpointing the issues more accurately.
Step 4: Executing the Tests
Run the tests using the testing framework. Ensure to cover different cases including:
Positive Cases: Where the input meets the expected criteria.
Negative Cases: Testing with inputs that are supposed to fail, to ensure proper error handling.
Edge Cases: Testing the limits of the input parameters.
Step 5: Analyzing the Results
After execution, analyze the results thoroughly. If a test fails, investigate the cause and fix the issue before proceeding.
Step 6: Integrating with Continuous Integration (CI) Systems
Integrate the unit tests into a Continuous Integration system to automate the testing process. The CI system should be configured to run the unit tests automatically each time code is pushed to the repository.
Step 7: Maintenance of Test Cases
As the application evolves, continually update the test cases to mirror the changes in the application. Remove obsolete tests and add new ones for the newly added functionalities.
Step 8: Documentation
Maintain a well-documented record of all the test cases, including the input parameters and expected outcomes. This documentation will serve as a reference and aid in understanding the expected behavior of the application units.
Step 9: Team Collaboration
Encourage collaboration in the team where code and test cases are reviewed by peers to ensure the quality and effectiveness of the unit tests.
Step 10: Training and Learning
Continuously improve your unit testing skills through training and learning. Stay updated with the latest trends and best practices in unit testing to enhance the quality of your tests.
Best Practices in Unit Testing
The process of unit testing can be substantially improved by adhering to a set of best practices and methodologies. These practices not only streamline the testing process but also enhance the overall quality and reliability of the software product. Here are several strategies to consider for optimizing your unit testing efforts:
1. Adopt Consistent Naming Conventions
Implement a coherent and descriptive naming convention for your test cases. This facilitates easier identification and understanding of the tests, fostering smoother collaboration and maintenance.
2. Test Singular Units of Code Independently
Focus on testing individual units of code separately to isolate potential issues effectively. This strategy ensures that each component functions correctly in isolation, paving the way for a more robust application.
3. Develop Corresponding Test Cases During Code Changes
Whenever there is a modification in the code, ensure to create or update the corresponding unit test cases. This practice helps maintain the relevance and effectiveness of your test suite, allowing for the timely detection of issues introduced by the changes.
4. Prompt Bug Resolution
Prioritize the immediate resolution of identified bugs before progressing to the next development phase. Quick bug resolution minimizes the potential for escalating issues and maintains the stability of the codebase.
5. Integrate Testing with the Code Commit Cycle
Integrate unit testing into your code commit cycle to foster a test-driven development environment. Conducting tests as you commit code helps in the early detection of issues, reducing the chances of errors proliferating through the codebase.
6. Focus on Behavior-Driven Testing
Concentrate your testing efforts on scenarios that significantly influence the system’s behavior. Adopt a behavior-driven testing approach to ensure that the application behaves as expected under various conditions, enhancing reliability and user satisfaction.
7. Utilize Virtualized Environments for Testing
Leverage virtualized environments, such as online Android emulators, to conduct unit tests in scenarios that closely resemble real-world conditions. These environments offer a convenient platform to test the application under different settings without the need for physical devices.
8. Implement Continuous Integration
Incorporate unit testing into a continuous integration (CI) pipeline to automate the testing process. CI allows for the regular and systematic execution of unit tests, ensuring that the codebase remains stable and bug-free as it evolves.
9. Encourage Peer Reviews
Promote the practice of peer reviews for both code and test cases. Reviews foster collaboration and knowledge sharing, enhancing the overall quality and robustness of the application.
Disadvantages of Unit Testing
1. Limited Scope of Testing
A notable limitation of unit testing is its inability to verify all execution paths and detect broader system or integration errors. Since unit tests focus on individual components, they might overlook issues that only emerge during the interaction between different units or systems.
2. Potential for Missing Complex Errors
Unit testing might not be comprehensive enough to identify complex errors that are generally captured during integration or system testing. It is, therefore, essential to complement unit tests with other testing methodologies for a well-rounded verification of the software.
Conclusion
In light of the above discussion, it becomes unequivocally clear that unit testing stands as a cornerstone in safeguarding the integrity and reliability of software development. Steering clear of it is not only detrimental to the code quality but could potentially escalate the costs and efforts involved in the later stages of development.
Adopting a Test-Driven Development (TDD) approach further amplifies the benefits of unit testing. In this paradigm, developers construct tests before writing the corresponding code, thereby ensuring that the codebase develops with testing at its core. This not only engrains a quality-first mindset but also facilitates a workflow that is more organized and less prone to errors.
Moreover, the utilization of appropriate tools and frameworks can streamline the unit testing process substantially, making it less cumbersome and more efficient. These tools can automate various aspects of testing, helping to detect issues swiftly and reducing manual effort considerably.
As we navigate through an era where software forms the backbone of many critical systems, the role of unit testing in fostering robust, secure, and reliable applications cannot be understated. It emerges not as an option but a necessity, carving pathways for innovations that are both groundbreaking and resilient.
By embracing unit testing as an integral part of the development cycle, developers are not only upholding the quality and reliability of their applications but are also taking a step towards crafting products that stand the test of time, offering optimal performance and user satisfaction.
In today’s digital age, mobile applications have become an integral part of our lives. We rely on them for various tasks, from socializing and entertainment to productivity and financial transactions. However, nothing is more frustrating than using an app that crashes frequently, behaves erratically, or fails to meet our expectations. Such experiences often lead users to uninstall the app and move on to alternatives.
To ensure that mobile applications meet user expectations and deliver a seamless experience, thorough testing is crucial. Testing plays a vital role in identifying and rectifying issues, thereby improving the overall quality of the app. Functional testing and non-functional testing are two key categories of testing that focus on different aspects of the application.
Section 1: Functional Testing
1.1 What is Functional Testing:
Functional testing is a process of evaluating the behavior, features, and functionality of an application to ensure that it works as intended. The primary goal of functional testing is to validate that each function of the application performs correctly according to the specified requirements. This type of testing focuses on user-friendliness and ensuring that the application meets the expectations of its intended users.
To perform functional testing, first we need to identify the test input and compute the expected outcomes with the selected test input values. Then we execute the test cases and compare the actual data to the expected result.
1.2 Types of Functional Testing:
1.2.1 Unit Testing:
Unit testing involves testing individual components or units of code in isolation to verify their functionality. It is usually performed by developers during the development phase. The purpose of unit testing is to ensure that each unit of code functions as intended and meets the specified requirements. It helps identify defects early in the development cycle, promotes code reusability, and provides a solid foundation for integration testing.
In unit testing, test cases are created to validate the behavior of individual functions, methods, or classes. Mock objects or stubs may be used to simulate dependencies and isolate the unit under test. By testing units in isolation, developers can easily identify and fix bugs, making the code more reliable and maintainable.
1.2.2 Integration Testing:
Integration testing focuses on validating the interaction between different components or modules of the application. It ensures that the integrated parts work harmoniously and produce the expected output. Integration testing can be performed using various approaches:
Top-down approach: Integration testing starts from the highest-level components, and gradually lower-level components are integrated and tested. This approach allows early identification of integration issues in major components.
Bottom-up approach: Integration testing begins with the lower-level components, and higher-level components are gradually added and tested. This approach is useful when lower-level components are more stable and critical to the application’s functionality.
Sandwich or hybrid approach: This approach combines elements of both top-down and bottom-up approaches. It aims to achieve a balanced integration of components by identifying and addressing issues at different levels simultaneously.
Integration testing verifies that components can communicate and exchange data correctly, handle errors gracefully, and maintain data integrity throughout the system.
An Autonomous Bot to Test your Apps
Simply upload your app on the platform and run exploratory testing with our Autonomous Bot – Certifaya. Ensure a seamless testing experience with just a click.
Sanity testing, also known as smoke testing, is a quick evaluation of the application’s major functionalities after making small changes or fixes. Its primary objective is to determine if the critical functions of the application are working as expected before proceeding with further testing.
Sanity testing focuses on the most crucial features and functionality to ensure that the recent changes have not introduced any major issues. It is not an in-depth or exhaustive test but rather a superficial check to provide confidence that the application is stable enough for further testing.
By performing sanity testing, teams can catch critical issues early and avoid wasting time on extensive testing if the application’s fundamental functionality is compromised.
1.2.4 Regression Testing:
Regression testing involves retesting the previously tested functionalities of the application to ensure that any new changes or bug fixes have not introduced new defects or caused existing functionalities to fail. It aims to maintain the stability and integrity of the application.
When new features or bug fixes are introduced, regression testing helps ensure that these changes do not impact the existing functionality of the application. It involves rerunning test cases that cover the affected areas to confirm that the system behaves as expected after modifications.
Regression testing can be performed manually or through automated testing tools. Automated regression testing is often preferred for efficiency and accuracy, especially when there are frequent code changes or a large number of test cases.
1.2.5 System Testing:
System testing evaluates the entire system as a whole to verify its compliance with the specified requirements. It covers end-to-end scenarios, including various functionalities and interactions between different components.
System testing can be performed in both black box and white box testing approaches, depending on the level of access to the system’s internal workings. It tests the system’s behavior, performance, security, and other non-functional aspects to ensure it meets the desired standards and user expectations.
System testing typically involves creating comprehensive test cases that simulate real-world scenarios and user interactions. It aims to identify any discrepancies between the expected behavior and the actual behavior of the system.
1.2.6 Beta/User Acceptance Testing:
Beta testing, also known as user acceptance testing (UAT), involves releasing the application to a limited set of end-users or external testers to evaluate its performance and gather feedback. It helps validate the application’s usability, compatibility, and overall user experience.
During beta testing, real users test the application in a production-like environment, providing insights into its strengths, weaknesses, and potential areas of improvement. Feedback collected during this phase helps identify bugs, usability issues, and other areas for refinement.
Beta testing is particularly valuable for identifying user-centric issues that might not have been discovered during earlier testing phases. It allows the development team to make necessary adjustments before the application’s full release, enhancing its quality and user satisfaction.
Overall, these different types of testing play crucial roles in ensuring the quality, reliability, and usability of software applications at various stages of the development process.
Section 2: Non-Functional Testing
2.1 What is Non Functional testing?
Non-functional testing focuses on evaluating the quality attributes and performance of the application beyond its functional aspects. It aims to ensure that the application meets specific criteria related to reliability, performance, usability, security, compatibility, and other non-functional requirements.
2.2.1 Performance Testing:
Performance testing is crucial to ensure the smooth functioning of an application under expected workloads. Its primary objective is to identify performance-related issues such as reliability and resource usage, rather than focusing on finding bugs. When conducting performance testing, it is essential to consider three key aspects: quick response time, maximum user load, and stability across diverse environments. Even if you are primarily focused on mobile testing and employ online Android emulators, performance testing remains indispensable.
2.2.1.1 Endurance Testing:
Endurance testing, also known as soak testing, verifies the application’s ability to handle sustained loads over an extended period. It aims to identify any performance degradation or resource leaks that may occur during continuous usage. By subjecting the application to a prolonged workload, endurance testing helps ensure that it can sustain high usage without issues such as memory leaks, performance degradation, or resource exhaustion.
2.2.1.2 Scalability Testing:
Scalability testing measures how well the application can handle increased workload or user demand by adding more resources, such as servers or network bandwidth. It evaluates the application’s ability to scale seamlessly as the user base grows. Scalability testing helps determine the system’s capacity to handle additional load without significant performance degradation or loss of functionality.
2.2.1.3 Load Testing:
Load testing evaluates the application’s behavior and performance under expected and peak loads. It involves simulating user interactions and subjecting the system to high concurrent user activity or data volumes. The purpose is to determine the maximum capacity of the application and identify potential bottlenecks or performance issues. Load testing helps ensure that the application can handle the anticipated user load without crashes, slowdowns, or data inconsistencies.
2.2.2 Usability Testing:
Usability testing plays a critical role in identifying usability defects within an application. It involves a small group of users evaluating the application’s usability, primarily during the initial phase of software development when the design is proposed. The focus is on assessing the ease of use and whether the system meets its intended objectives. Usability testing can also be conducted on online Android emulators for mobile applications.
Several methods can be employed for conducting usability testing. During the design phase, one approach involves evaluating the design concept using paper prototypes or sketches. Another method involves conducting random tests once the application is developed to assess its usability. Real users can be engaged on the site to perform these tests, providing valuable feedback and results. Additionally, tools that provide statistical analysis based on design inputs and wireframes can be utilized to support usability testing efforts.
The first step in conducting structured usability testing is to identify the target users who will be interacting with the application. Users should be selected based on their characteristics, such as geography, age, gender, and other relevant factors that align with the application’s intended user base. The next step involves designing specific tasks for the users to perform, which will help evaluate the application’s usability. The results of the testing are then analyzed and interpreted.
Usability testing can be performed in a controlled test environment with observers present. These observers closely monitor the testing process and create a comprehensive report based on the users’ assigned tasks and their interactions with the application. Another option is remote usability testing, where both the observers and the testers are located in separate locations. In remote testing, the users perform the assigned tasks from their own environment, and their reactions and interactions are recorded using automated software.
By conducting usability testing using appropriate methods and involving representative users, organizations can gain valuable insights into their application’s usability, identify potential issues, and make informed design decisions to enhance the overall user experience.
2.2.3 Security Testing:
Security testing is an integral part of the mobile app testing process and holds utmost importance in ensuring the app’s resilience against external threats, such as malware and viruses. It plays a critical role in identifying vulnerabilities and potential loopholes within the application that could lead to data loss, financial damage, or erosion of trust in the organization.
Let’s explore the key security threats that need to be addressed during security testing: Privilege Elevation: This threat involves a hacker exploiting an existing account within your app to increase their privileges beyond what they are entitled to. For example, if the app offers credits for referring friends, the hacker might manipulate the system to obtain more credits and gain financial advantage.
Unauthorized Data Access: One of the most prevalent security breaches is unauthorized access to sensitive information. This can occur through hacking login credentials or gaining unauthorized access to the server where the data is stored. Security testing aims to identify and rectify vulnerabilities that could lead to such unauthorized access. URL Manipulation: Hackers may manipulate the URL query string if the app or website employs the HTTP GET method for data transfer between the client and server. Security testing includes assessing if the server properly validates and rejects modified parameter values, ensuring that unauthorized manipulation of data is prevented.
Denial of Service: This type of attack disrupts app services, rendering them inaccessible to legitimate users. Hackers may exploit vulnerabilities to overwhelm the app or server, making it unstable or unavailable for use. Security testing aims to identify weaknesses in the app’s infrastructure and implement safeguards against such attacks.
By conducting comprehensive security testing, organizations can strengthen the app’s defenses, mitigate potential security risks, and safeguard user data, revenue, and the overall reputation of the organization. It is crucial to stay proactive in identifying and addressing security vulnerabilities to maintain a secure and trusted app environment.
2.2.4 Compatibility Testing:
Compatibility testing ensures that the application functions correctly across different devices, operating systems, browsers, and network environments. It helps guarantee a consistent user experience and broadens the application’s reach to a wider audience. Compatibility testing involves verifying that the application’s features, functionality, and user interface are compatible with various platforms and configurations. By conducting compatibility testing, developers can address issues related to device-specific behaviors, screen resolutions, browser compatibility, and network compatibility.
2.2.5 Accessibility Testing:
Accessibility testing verifies that the application is accessible to users with disabilities. It ensures compliance with accessibility standards and guidelines, making the application usable for individuals with visual, hearing, or mobility impairments. Accessibility testing involves evaluating factors such as screen reader compatibility, keyboard navigation, color contrast, alternative text for images, and adherence to accessibility guidelines. By conducting accessibility testing, developers can ensure that their application is inclusive and can be accessed by a wider range of users, regardless of their abilities.
These different types of non-functional testing are essential for ensuring that the application not only functions correctly but also meets performance, usability, security, compatibility, and accessibility standards. By thoroughly testing these aspects, developers can deliver a high-quality application that provides a positive user experience, addresses potential issues, and meets the needs of a diverse user base.
Functional Testing
Non-Functional Testing
Validates the actions, operations, and functionalities of an application.
Verifies the performance, reliability, and other non-functional aspects of the application.
Focuses on validating user requirements and ensuring the application functions as intended.
Focuses on evaluating user expectations, such as performance, usability, security, scalability, and other non-functional attributes.
Executed before non-functional testing to ensure basic functionality is in place.
Executed after functional testing to assess the application’s non-functional characteristics.
Functional requirements are relatively easier to define as they directly align with user actions and expected outcomes.
Requirements for non-functional testing, such as performance targets, security standards, usability guidelines, or regulatory compliance, can be challenging to define precisely.
Example: Testing the login functionality to ensure users can successfully log into the application.
Example: Verifying that a web page loads within one second, ensuring a fast and responsive user experience.
Functional testing is often performed manually to simulate user interactions and validate functionality.
Non-functional testing, especially for aspects like performance, load, stress, and security testing, is best executed using automated tools to simulate real-world scenarios and generate accurate results.
Ensures the application meets functional requirements and performs the expected tasks correctly.
Evaluates the application’s performance, usability, reliability, compatibility, security, and other non-functional aspects.
Typically focuses on individual features, modules, or components of the application.
Takes a holistic approach, assessing the application as a whole, including its integration, performance under different conditions, and adherence to industry standards.
Regression testing is commonly performed in functional testing to ensure new changes or fixes do not impact existing functionality.
Regression testing may also be performed in non-functional testing to ensure changes or optimizations do not adversely affect non-functional attributes.
Functional testing is generally carried out by business analysts, testers, or domain experts.
Non-functional testing may involve a broader range of stakeholders, including performance testers, security analysts, usability experts, and infrastructure specialists.
Focuses on “what the system does” in terms of features and functionality.
Focuses on “how well the system performs” in terms of various non-functional attributes.
Section 3: Key Differences between Functional Testing and Non-Functional Testing
3.1 Focus:
The primary focus of functional testing is to validate the application’s behavior and functionality according to the specified requirements. It ensures that the application performs the intended tasks correctly. Non-functional testing, on the other hand, emphasizes assessing quality attributes, performance, and user experience beyond the functional aspects. It evaluates how well the application performs in terms of speed, scalability, security, usability, compatibility, and accessibility.
3.2 Objectives:
Functional testing aims to ensure that the application works as intended and meets user expectations in terms of features and functionalities. It focuses on validating the functional requirements and ensuring that the application delivers the desired functionality. Non-functional testing, on the other hand, focuses on evaluating aspects such as performance, usability, security, compatibility, and accessibility to enhance the overall user experience. It aims to identify any issues or limitations related to these quality attributes and improve them for a better user experience.
3.3 Timing:
Functional testing is typically performed during the development phase, starting with unit testing and progressing through integration testing and system testing. It ensures that the application’s core functionality is working as expected. Non-functional testing is often conducted after functional testing, once the application’s basic functionality has been validated. It focuses on assessing the application’s performance, usability, security, compatibility, and accessibility in different environments and scenarios.
3.4 Test Cases and Techniques:
Functional testing relies on test cases derived from functional requirements, user stories, and use cases. It involves techniques such as boundary value analysis, equivalence partitioning, and decision tables to validate the expected behavior of the application. The emphasis is on ensuring that the application meets the functional requirements and performs the desired tasks correctly. Non-functional testing requires specific test cases and techniques tailored to each quality attribute being assessed. For example, performance testing may involve the use of load testing tools to simulate heavy user loads and measure the application’s response time. Accessibility testing may involve the use of assistive technology tools to evaluate the application’s accessibility features. Each type of non-functional testing requires specialized techniques and tools to assess the specific quality attribute.
3.5 Scope:
Functional testing focuses on testing individual functions or features of the application to ensure they work correctly. It involves verifying inputs, outputs, and the expected behavior of specific functionalities. Non-functional testing, on the other hand, assesses broader aspects of the application beyond individual functions. It evaluates performance, usability, security, compatibility, and accessibility across the entire system or application.
3.6 Success Criteria:
In functional testing, the success criteria are typically defined based on whether the application performs the expected functions correctly. Test cases are designed to verify specific requirements or user stories. Non-functional testing, however, requires different success criteria depending on the quality attribute being assessed. For example, in performance testing, success criteria may include response time thresholds or maximum load capacity. In security testing, the success criteria may involve identifying and fixing vulnerabilities or achieving compliance with security standards.
3.7 Dependencies:
Functional testing can often be conducted independently of external factors or dependencies. It focuses on testing the internal behavior of the application. Non-functional testing, on the other hand, often requires external dependencies, such as specific hardware configurations, network environments, or test tools. For example, performance testing may require dedicated performance testing tools, while compatibility testing may require testing across different browsers or devices.
3.8 Test Environment:
Functional testing can typically be performed in a controlled test environment that mimics the production environment. It allows for consistent and repeatable testing. Non-functional testing, however, often requires different test environments that reflect real-world conditions. For example, performance testing may require using a production-like environment with representative user loads, while compatibility testing may involve testing on various devices, operating systems, and network configurations.
3.9 Test Data:
Functional testing usually requires specific test data that represents different scenarios and inputs relevant to the functionality being tested. Non-functional testing may require additional or specific test data related to the quality attribute being assessed. For example, in security testing, test data may include malicious inputs to test vulnerabilities, while performance testing may involve generating large datasets to simulate realistic workloads.
Conclusion:
On average, it is observed that an app tends to lose 95% of its new users within the first three months. One of the primary reasons for this high attrition rate is the presence of bugs and issues within the app, which could have been avoided with a robust testing strategy. By implementing thorough functional testing and non-functional testing, app developers can ensure a smoother user experience and reduce the likelihood of losing users.
To facilitate effective testing, tools like pCloudy offer a range of features that simplify and expedite both functional and non-functional testing processes. These tools enable testers and developers to quickly identify and rectify bugs, ensuring that the app meets the desired quality standards before its release.
By investing in reliable testing tools and adopting a proactive testing approach, developers can save valuable time and resources. Early detection and resolution of issues contribute to enhancing the overall app performance, stability, and user satisfaction. Ultimately, this helps businesses retain users, prevent revenue loss, and establish a strong reputation in the competitive app market.
Comprehensive Test Coverage
Test your apps on 5000+ real device and browser combinations and ensure a complete test coverage.
Test cases are the first step in any testing cycle and are very important for any project. If anything goes wrong at this step, the impact gets proliferated in the entire software testing process. This can be avoided if the testers use proper procedure and guidelines while creating the test case template.
In this blog, I am going to share some simple yet effective tips which you could use for writing effective test cases. These tips will save you time and effort while optimizing the use of resources.
How to write test cases in a better way
Let’s have a look a the tips to write better test case template.
1. Detailed Domain Knowledge
Domain knowledge in information technology means deep knowledge of business and operational dynamics, the risks involved and the opportunities in that particular project. It is required to follow the best practices in the domain.
2. Break long test cases into many smaller ones
It is better to break the test case into a group of smaller ones if it has too many steps. It would be easier for the developer to backtrack and repeat the test steps if an error occurs somewhere in the test script. If not done than there are high chances that the developer will miss the bug.
3. Preconditions
Before starting on the test case it is suggested confirm all the assumptions that apply to the test and the preconditions that must be met before execution. There can be data dependency or the dependencies on the test environment or any other test cases.
4. Attach Artifacts
Relevant artifacts should be attached to the test cases. This can be done using a test management tool. At the time of product delivery, It will help to track the changes in the application. I will be easy to understand the flow of the function when there is a change at any step which will not be easy to relate otherwise.
5. Test data input
While writing a new test case a tester can share test data wherever applicable to be used for the Test Case within the test case description or add with the specific test case step. This will save time as there is no need to look for the test data anywhere else.
If the values are to be verified then testers can specify the value range or describe what values are to be tested for a particular field. Choose a few values from each class which will give good coverage for your test.
It’s better not to mention the real test data value but the type of data which is required to run the test. In projects where multiple teams use the test data and it keeps changing, mentioning only the type of data will be a wise choice.
6. Organize your work
Use a test management tool to manages your test cases instead of using a spreadsheet. There are many test management tools that can be used to organize the test cases in one place which will increase the productivity of the team.
7. Stop Assuming
It is better to refer to the specification document. Assumptions about the features or functionalities can lead to disagreements between the client and the developers. This gap between the client’s requirement and the application under development will impact the business.
8. Test Case Naming Conventions
To write tests which are easy to understand, we have to stop coding on autopilot and pay attention to the naming conventions. It is required to name our test classes, fields of our test classes, test methods and the local variables while writing automated tests for our application.
It does not matter which team member wrote the test, others will know what feature is tested under what scenario without even looking at the test code.
9. Meet Customer’s Requirements
If the testers miss a bug or write test cases that do not relate to the real world scenarios then it’s just a waste of resources and time. The goal is to meet the customer’s expectations and that can be attained only if the testers think from the users perspective.
10. Cover All Verification Points
It is important to write well-defined test case verification steps covering all the verification points for the feature under test. To make sure that the test Case covers all the verification points match your test case steps with the artifacts given for your project.
11. Avoid Repetitions
Do test automation when needed as it will reduce the manual effort and save a lot of time. The test scripts should be written in such a way that they can be used afterward for some other project.
12. Make it Reusable
Create test case template which could be re-used in the future by other teams. Also, before writing a new test case for your module, find out if there are similar test cases written already for some other project. Doing this you will avoid any redundancies in your test management tools. Call the existing test case in pre-conditions or at a specific design step if there is a need for a particular test case to execute some other test case.
13. All-Inclusive Test Coverage
Test cases should include all the features and functionalities mentioned in the software requirement. Requirement traceability matrix will help in finding the untested functions of the application.
14. Group Similar Test Cases
A test run is a collection of test cases that testers should execute in a particular order. Test cases are often grouped in test runs. It’s preferred to put preconditions at the beginning of a test run rather than inserting them into each test case.
Actually, only a few of the test cases need preconditions, so the field is often left empty. A test management tool will help to customize your forms and create a test case template which will save your time and effort when writing test cases. Another thing to keep in mind is to avoid writing the same instructions several times by moving repeated preconditions to a test run.
15. Easy to Understand
The test cases should be well defined with comments where ever needed so that any other software tester can work on it in the future. Whatever project you work on, when designing test cases, you should always consider that the test cases will not always be executed by the one who designs them. Therefore, the tests should be easily understandable and to-the-point.
In a scenario where the person who wrote all those test cases leaves for some reason and you have a completely new testing team to work with, the entire effort spent during the design phase could go down the drain.
16. Test Case Description
In the description, the testers need to mention all the details about what is going to be tested, what needs to be verified, the test environment and test data.
The information mentioned below should be there in a well-written test case description:
Any dependencies like preconditions and assumptions
Test Data to be used
17. Maintenance and Update
All the test cases should be updated with the new requirements so it’s easier to execute them in the future if there is a need. Even if some other tester wants to use the test case he/she wouldn’t have to go through the details of the script.
Conclusion
The tester needs to have good domain knowledge and should write presentable test cases from the users perspective. A good test case template will make it easier for testers to write good test cases. If there are only a few test steps, consider making a checklist instead and have a look at some relevant test case examples before working on your test case. A test case example will be helpful in creating test case templates too. A test management tool will definitely help in improving the way test cases are created and managed.
In the year 2028, there will be around 7.8 Billion mobile users which accounts for 70% of the world population. More mobile users mean more apps and more competition and to lead the competition we need to make sure that our app is flawless. If nearly half of the bugs in your mobile app are discovered by the users, your app’s ratings are going to decline and so are the downloads. This is why the right choice of mobile app testing techniques must be followed in the decision-making process.
Mobile App Testing Strategies
Today, the mobile app market is highly competitive. To be better every day and survive for long, the QA team has to follow a mix of plans that would be responsible for taking the right testing decisions. The testers have to formulate testing strategies to face every situation fearlessly and immaculately. Mobile apps have to be perfect before reaching to the end users so there have to be certain decisions to be taken regarding the testing plan. The following model of mobile app testing plans can be considered for better execution.
In the planning Stage, decisions like Selection of Device matrix, Test Infrastructure (In-house vs. Cloud, Simulator vs. Real device), Testing scope, Testing Tools, Automation (Framework/Tool) are taken. Since it is the first stage, it is the most important one as all the further stages would depend on these decisions. In the next stage which is execution and review, decisions regarding Test Case Design, Testing of user stories, testing types as per Sprint Objective, Progressive Automation, Regression Testing, Review and course correction are taken.
We are going to discuss the planning stage aspects more elaborately
Device Matrix:
It is an important factor, choosing the device as per your target audience’s behavior matters in decisions regarding resting. There are different approaches to the selection of the device matrix.
Approach 1- Selection of Devices based on market research.
Determine the set of devices with your target operating System that will have the highest occurrence of accessing your application by using app purchase data and analytics. For Example- if you support both Android and iOS, and your application will be used across millions of Samsung, Google Nexus and Moto G devices but only thousands of iPhones, you prioritize testing on the Google Nexus and Moto G above the iPhone device. So, this test plan will consist of testing on devices which are prioritized by your market analysis.
Approach 2: Categorize the devices based on Key mobile aspects
This approach highlights the categorization of the devices based on certain mobile aspects which can be considered in formulating the testing strategy. The categorization goes as:
Test infrastructure
This is another element of the planning stage. This focuses on Strategizing on the Infrastructure components like hardware, software, and network which are an integral part of test infrastructure. It ensures that the applications are managed in a controlled way.
Real device, Emulators or Mobile cloud-Where to test?
Choosing the right platform to test as per the testing needs is very important i.e whether to test on the Real device or an emulator or on the cloud
Real Devices
Testing on a real device is anytime more reliable than testing on a simulator. The results are accurate as real-time testing takes place on the device in a live environment. It carries its own disadvantages as it is a costly affair and not all the organizations are able to afford a complete real device laboratory of their own.
Pros:
Reliable- Testing on Real devices always gives you an accurate result
Live Environment- Testing on real devices enables you to test your application on the actual environment on which your target audience working on. You can test your application with different network technologies like HSPDA, UMTS, LTE, Wi-Fi, etc.
User experience- Testing on Real devices is the only way to test your Real-time User experience. It cannot be tested through Emulators or devices Available on Cloud.
Cons: Maintaining the matrix- You cannot maintain such a huge matrix of mobile devices in your own test lab. Maintenance- Maintaining these physical devices is a big challenge for organizations. Network providers- There are more than 400 network providers all over the world. Covering all these network providers in their own test lab is impossible. Locations- You cannot test how your application behaves when it is used in different locations.
Emulators
The emulator is another option to test mobile apps. These are free, open source and can be easily connected with the IDE for testing. The emulator simulates the real device environment and certain types of testing can be run on it easily. However, we cannot say that the results of emulators are as good as those of real devices. It is slower and cannot test issues like network connection, overheating, battery behavior, etc.
Pros:
Price- Mobile emulators are completely free and are provided as part of the SDK on every new OS release.
Fast- As Emulators are available on the local machine so they run faster and with less latency than Real devices connected to a local network or devices available on the cloud.
Cons:
The wrong impression- Even if you have executed all test cases on emulators, you cannot be 100 % sure it will actually work in the real environment.
Testing Gestures- Gestures like Pinching, Swipe or drag, long press using the mouse on simulators are different in using these gestures on real devices. We cannot test these functionalities on emulators. Can’t test Network Interoperability- With the help of Simulators you cannot test your application with different network technologies. Like HSPDA, UMTS, LTE, Wi-Fi, etc.
Testing on Mobile Cloud
Mobile cloud testing can overcome the cost challenges like purchasing and maintaining mobile devices. It has all different sets of device types are available in the cloud to test, deploy and manage mobile applications. The tests run virtually with the benefit of choosing the right type device-OS combinations. Privacy, security, and dependency on the internet can be a challenge in this case but it has many benefits that can cater to different testing scenarios.
The organization can choose the right mix of above-mentioned platforms as every platform carries its own advantages and disadvantages. Sometimes a combination of real and emulators is preferred and sometimes all three can be considered as per the testing strategy.
Pros:
Devices Availability- Availability of Devices and network providers is a big gain for cloud users. Maintenance- When you are using cloud services. Forget about maintenance. These providers take responsibility for maintaining these devices. Pay per use- You don’t need to buy a device. You only have to pay for the duration you use that device.
Parallel Execution- You can test your complete test suite on multiple devices.
Cons: Cost- Some providers are a bit costly
Automation Tools for Mobile App Testing on Android and iOS
Nowadays, there are so many automation tools available in the market. Some are expensive and some are freely available in the market. Every tool has its own pros and cons. Choosing the right tool for testing would reduce the QA team effort providing seamless performance at the same time. We will discuss the best mobile app testing automation tools for iOS and Android platforms in 2018.
1. Appium: It is one of the preferred MAT tools by testers. It is open source and free tool available for Android and iOS. It automates any mobile app across many languages and testing frameworks like TestNG. It supports programming languages like Java, C# and other Webdriver languages. It provides access to complete back end APIs and database of the test codes. Top Features:
-Appium supports Safari on Ios and Other browsers on Android
-Many Webdriver compatible languages can be used such as Java, Objective-C, JavaScript to write test cases
-Support languages like Ruby, Java, PHP, Node, Python.
2. Robotium: It is a free Android UI testing tool. It supports in writing powerful black box test cases for Android Applications. It supports Android version 1.6 and above. The tests are written in Java language and basically, Robotium contains a library of unit tests. Apart from this, Robotium takes a little more effort in preparing tests, one must work with program source code to automate tests. Robotium does not have play record and screenshot function.
Top Features:
-The tests can be created with minimum knowledge of the project
-Numerous android exercises can be executed simultaneously.
-Syncronises easily with Ant or Maven to run tests.
3. Calabash: It is an open source MAT tool allowing testers to write and execute tests for Android and iOS. Its libraries enable the test codes to interact with native and hybrid apps. It supports cucumber framework which makes it understandable to non-tech staff. It can be configured for Android and Ios devices. It works well with languages like Ruby, Java, .NET, Flex and many others. It runs automated functional testing for Android and ios. It is a framework that is maintained by Xamarin and Calabash.
4. Espresso: It is a mobile app testing automation tool for Android. It allows writing precise and reliable Android UI tests. It is a tool targeted for developers who believer automated testing is an important part of CI CD process. Espresso framework is provided by the Android X Test and it provides APIs for writing UI tests to simulate user interactions on the target app. Espresso tests can run on Android 2.33 and above. Provides automatic sync of test actions with the app UI.
5. Selendroid: An open source automation framework which drives off the UI of Android native, hybrid and mobile web application. A powerful testing tool that can be used on emulators and real devices. And because it still reuses the existing infrastructure for web, you can write tests using the Selenium 2 client APIs.
6. Frank: Is an open source automation testing tool for the only iOS with combined features of cucumber and JSON. The app code needs not to be modified in this tool. It includes Symboite live app inspector tool and allows to write structured acceptance tests. It is tough to use directly on the device but is flexible for web and native apps. It can run test both on simulator and device. It shows the app in action by showing its recorded video of test runs.
Above are a few promising, popular and most commonly used and mobile app testing automation tools. Choice of tools certainly resolves many testing-related problems faster and efficiently. Implementing these tools requires skill and experience and so an organization needs to have a proper testing team in place to make all of this possible. Related Articles:
We are moving toward a future where everything is going to be autonomous, fast and highly efficient. To match the pace of this fast-moving ecosystem, application delivery times will have to be accelerated, but not at the cost of quality. Achieving quality at speed is imperative and therefore quality assurance gets a lot of attention. To fulfill the demands for exceptional quality and faster time to market, automation testing will assume priority. It is becoming necessary for micro, small, and medium-sized enterprises (SMEs) to automate their testing processes. But the most crucial aspect is to choose the right test automation framework. So let’s understand what a test automation framework is.
What is a Test Automation Framework?
A Mobile Testing automation framework is the scaffolding that is laid to provide an execution environment for the automation test scripts. The framework provides the user with various benefits that help them to develop, execute and report the automation test scripts efficiently. It is more like a system that was created specifically to automate our tests. In a very simple language, we can say that a framework is a constructive blend of various guidelines, coding standards, concepts, processes, practices, project hierarchies, modularity, reporting mechanism, test data injections etc. to pillar automation testing. Thus, the user can follow these guidelines while automating applications to take advantage of various productive results.
The advantages can be in different forms like the ease of scripting, scalability, modularity, understandability, process definition, re-usability, cost, maintenance etc. Thus, to be able to grab these benefits, developers are advised to use one or more of the Test Automation Framework. Moreover, the need of a single and standard Test Automation Framework arises when you have a bunch of developers working on the different modules of the same application and when we want to avoid situations where each of the developers implements his/her approach towards automation. So let’s have a look at different types of test automation frameworks.
Types of Mobile Automated Testing Frameworks
Now that we have a basic idea about Automation Frameworks, let’s check out the various types of Test Automation Frameworks available in the marketplace. There is a divergent range of Automation Frameworks available nowadays. These frameworks may differ from each other based on their support to different key factors to do automation like reusability, ease of maintenance etc.
Types of Mobile testing automation frameworks:
Module Based Testing Framework
Module-Based Testing Framework, as the name implies, depends on a number of modules to function. In order to produce the greatest results from the automation test, you would need to develop unique scripts for each module and ensure that they work together. Changes to the application’s functionality won’t have an impact on the modules. The scripts are safe unless they are manually changed.
Given that a high level of modularization is produced by merging multiple modules, this provides a cost-effective management approach. Productivity is still at its highest level. But, if necessary, it can take a lot of time and effort to make modifications to the test data individually.
Library Architecture Testing Framework
Based on the modular foundation, the library architecture framework for automated testing offers several extra advantages. Instead of separating the programme under test into the many scripts that must be executed, related jobs inside the scripts are found and afterwards grouped by function, allowing the application to be eventually divided up into common goals. The test scripts can access this library of functions anytime they are required.
Data Driven Testing Framework
A number of tests must be run while testing an automation framework before a successful result can be determined. In these situations, you might need to alter the test results to try and draw a different conclusion. You can keep the test data on an external drive and access it later for adding a new script to the test case thanks to the Data-Driven Testing Framework.
Keyword Driven Testing Framework
The keyword-driven testing framework, which is frequently regarded as an extension of the data-driven testing framework, collects your test data from an external source and securely preserves the set of codes. These codes, which are also known as “keywords,” can be used to change the test script and draw additional conclusions from the test framework. Also, these keywords effectively determine what tasks each programme performs.
Hybrid Testing Framework
To maximize the effectiveness of the aforementioned frameworks, the hybrid testing framework combines the data-driven and keyword-driven frameworks. It provides more room for more efficiency and success, making it the ideal automation foundation.
Behavior Driven Development Framework
The goal of the Behavior Driven Development framework is to build a platform that encourages active participation from all users, including developers, testers, business analysts, etc. Also, it improves cooperation on your project between the developers and testers. For this behavior-driven testing, test specifications can be written in plain, non-technical language.
Benefits of a Mobile Testing Automation Framework
Apart from the minimal manual intervention required in automation testing, there are many advantages of using a test automation framework. Some of them are listed below:
Faster time-to-market: Using a good test automation framework helps reduce the time-to-market of an application by allowing constant execution of test cases. Once automated, the test library execution is faster and runs longer than manual testing.
Earlier detection of defects: The documentation of software defects becomes considerably easier for the testing teams. It increases the overall development speed while ensuring correct functionality across areas. The earlier a defect is identified, the more cost-effective it is to resolve the issue.
Improved Testing efficiency: Testing takes up a significant portion of the overall development lifecycle. Even the slightest improvement of overall efficiency can make an enormous difference to the entire timeframe of the project. Although the setup time takes longer initially, automated tests eventually take up a significantly lesser amount of time. They can be run virtually unattended, leaving the results to be monitored toward the end of the process.
Better ROI: while the initial investment may be on the higher side, automated testing saves organizations many a lot of money. This is due to the drop in the amount of time required to run tests, which leads to a higher quality of work. This in turn decreases the necessity for fixing glitches after release, thereby reducing project costs.
Higher test coverage: In test automation, higher number of tests can be executed pertaining to an application. This leads to a higher test coverage, which in a manual testing approach would imply a massive team, limited heavily with their amount of time. An increased test coverage leads to testing more features and a better quality of application.
Reusability of automated tests: The repetitive nature of test cases in test automation helps software developers to assess program reaction, in addition to the relatively easy configuration of their setup. Automated test cases can be utilized through different approaches as they are reusable.
Top ten test automation frameworks
1. Robot Framework Robot Framework is the best choice if you want to use a python test automation framework for your test automation efforts. The Robot Framework is Python-based, but you can also use Jython(Java) or IronPython(.NET). The Robot Framework uses a keyword-driven approach to make tests easy to create. Robot Framework can also test MongoDB, FTP, Android, Appium and more. It has many test libraries including Selenium WebDriver library and other useful tools. It has a lot of API’s to help make it as extensible as possible. The keyword approach used by Robot Framework is great for testers who are already familiar with other vendor-based, keyword-driven test tools, making the transition to open source much easier for them.
2. WebdriverIO WebdriverIO is an automation test framework based in Node.js. It has an integrated test runner and you can run automation tests for web applications as well as native mobile apps. Also, it can run both on the WebDriver protocol and Chrome Devtools protocol, making it efficient for both Selenium Webdriver based cross-browser testing or Chromium based automation. As WebDriverIO is open source, you get a bunch of plugins for your automation needs. ‘Wdio setup wizard’ makes the setup simple and easy.
3. Citrus Citrus is an open-source framework with which you can automate integration tests for any messaging protocol or data format. For any kind of messaging transport such as REST, HTTP, SOAP, or JMS, Citrus framework will be suited for test messaging integration. If you need to interact with a user interface and then verify a back-end process, you can integrate Citrus with Selenium. For instance, if you have to click on a “send email” button and verify on the back end that the email was received, Citrus can receive this email or the JMS communication triggered by the UI, and verify the back-end results, all in one test.
4. Cypress Cypress is a developer-centric test automation framework that makes test-driven development (TDD) a reality for developers. Its design principle was to be able to package and bundle everything together to make the entire end-to-end testing experience pleasant and simple. Cypress has a different architecture than Selenium; while Selenium WebDriver runs remotely outside the browser, Cypress runs inside of it. This approach helps in understanding everything that happens inside and outside the browser to deliver more consistent results. It does not require you to deal with object serialization or over-the-wire protocols while giving you native access to every object. Cypress can synchronously notify you of every single thing that happens inside the browser as you’re pulling your app into it, so that you have native access to every DOM element. It also makes it easy to simply drop a debugger into your application, which in turn makes it easier to use the developer tools.
5. Selenium
One of the most popular open source test automation frameworks for web apps. Selenium also serves as a base for a lot of other testing tools as it has cross-platform and cross-browser functionality. Selenium supports a wide range of programming languages such as Java, C#, PHP, Python, Ruby, etc. It is easy to maintain as it has one of the largest online support networks. Selenium is highly extendable through a wide range of libraries and APIs to meet everyone’s needs and requirements. Selenium is preferred by testers as it is possible to write more advanced test scripts to meet various levels of complexity. It provides a playback tool for test authoring without the need to learn a specific scripting language.
6. Cucumber
It is a cross platform behavior driven development (BDD) tool which is used to write acceptance tests for web applications. Cucumber is quick and easy to set up an execution and allows reusing code in the tests. It supports languages like Python, PHP, Perl, .NET, Scala, Groovy, etc. Automation of functional validation in easily readable and understandable format. One good feature is that both specification and test documentation are uploaded in a single up-to-date document. Cucumber makes it easy for the business stakeholders, who are not familiar with testing, as they can easily read the code as test reports are written in business readable English. The code can be used together with other frameworks like Selenium, Watir, Capybara, etc.
7. Gauge
It is an open source tool agnostic test automation framework for Mac, Linux and Windows. People who work on TDD and BDD will appreciate Gauge’s focus on creating living/executable documentation. Specs – the Gauge automation tests are written using a markdown language with C#, Java and Ruby within your existing IDEs like Visual Studio and Eclipse. Gauge’s functionality can also be extended with its support of plugins. It was developed as a BYOT (Bring Your Own Tool) framework. So you can use Selenium or you can use anything else for driving your tests UI or API tests. If you want a readable non-BDD approach to automation, you should try Gauge.
8. Serenity
If you are looking for a Java-based framework that integrates with behavior-driven development (BDD) tools such as Cucumber and JBehave, Serenity might be the tool for you. It’s designed to make writing automated acceptance and regression tests easier. It also lets you keep your test scenarios at a high level while accommodating lower-level implementation details in your reports.
Serenity acts as a wrapper on top of Selenium WebDriver and BDD tools. It abstracts away much of the boilerplate code you sometimes need to write to get started which makes writing BDD and Selenium tests easier. Serenity also offers plenty of built-in functionality, such as handling running tests in parallel, WebDriver management, taking screenshots, managing state between steps, facilitating Jira integration, all without having to write a single line of code.
9. Carina Carina is built using popular open-source solutions like Appium, TestNG and Selenium, which reduces dependence on a specific technology stack. You can test mobile applications (native, web, hybrid), WEB applications, REST services, and databases. Carina framework supports different types of databases like MySQL, SQL Server, Oracle, PostgreSQL, providing amazing experience of DAO layer implementation using MyBatis ORM framework. It supports all popular browsers and mobile devices and it reuses test automation code between IOS/Android up to 80%. API testing is based on the Freemarker template engine and it provides great flexibility in generating REST requests. Carina is cross-platform and tests may be easily executed both on Unix or Windows OS.
10. EarlGray
Developers often face difficulty with some of the existing test automation framework in synchronization of the app and the instrumentation. Also, executing tests on apps as synchronized and advanced only when UI elements are visible on the screen has caused issues for many developers. Google EarlGrey has built-in synchronization that makes test scripts wait for UI events to occur before the script tries to interact with the UI of the app. This type of implementation makes the test script concise as all steps of the test script shows how the test will proceed and UI gets synchronized with it. One more key aspect of EarlGrey is that all actions on UI elements happen only on visible elements. This provides a fast and robust approach to ensure UI testing goes through as clicks, gestures and other user interactions do not get done if the UI element is not fully shown.
In a nutshell
This list of top tools here represents the best tools that are mature, popular, and provide test automation capabilities using AI/ML to address the challenges that organizations are now facing to deliver Quality at Speed. This list also includes the tools that provide API and services testing which is essential for successful DevOps transformation. The emerging technologies like AI, codeless, big data and IoT testing, are making test automation more efficient while creating opportunities for the existing tools and new players to assert value to the testing communities.
The choice of automation tools should not only meet your current needs but should also focus on potential trends and improvements. An efficient test automation tool should support basic optimization, data generation, smarter solutions, and analytics. As of now, the level of test automation in organizations is low at between 14% and 18%. But organizations are working towards increasing the automation coverage upto 80%. API and services testing is also a trend that should see further development in the future.
Today, there are many smartphone users in the world and so is the popularity of mobile apps. In order to be competent enough, mobile apps have to be unique and should provide the best user experience to increase the user base. With the users getting more informed and intelligent, the apps built should keep up with the pace. In order to be impeccable, the mobile app should undergo a rigorous testing process and during that process, the testing team faces many challenges in this aspect which will be covered in this blog. But before we dive in, let’s look at the different types of apps that are available in the market.
Types of mobile applications
The creation of mobile applications is a fantastic approach to boost brand recognition, attract new clients, and improve the user experience for existing customers. In light of this, let’s examine the three primary categories of mobile apps: native, web, and hybrid.
Native apps:
Native mobile applications are ones created exclusively for a given operating system. As a result, software created for one System cannot be used on another, and vice versa. Native applications are more effective, quick, and offer greater phone-specific functionality. Thus, the difficulties of testing mobile apps for compatibility with native user interfaces of devices involve ensuring that such traits are preserved strictly.
Web apps:
Similar to native apps, web applications do not require users to download them. Instead, the users’ web browsers on their phones can access these apps because they are incorporated within the website. So, it is envisaged that web applications will operate flawlessly across all platforms. Testing teams must carefully examine the application on a wide range of real devices and browsers to ensure high app quality. Yet in addition to taking a lot of time, this operation is essential because failing to work on a few devices can severely reduce the app quality and incur heavy losses when the app doesn’t function as required.
Hybrid apps:
The features of both online and native apps are available in hybrid apps. These are essentially web applications that mimic native apps in design. These applications are easy to maintain and load quickly. Teams that test mobile apps are in charge of making sure hybrid applications don’t lag on some devices. Any operating systems with the capacity to support the said features have access to all their functionality.
While each of these app types are slightly similar to each other the technical teams face a different challenge with each type of mobile application. Combining these challenges greatly increases the complexity, making the entire procedure laborious and time-consuming. Let’s quickly look into what some of these challenges are?
Different Operating Systems and their versions
There are different types of operating systems available in the market such as iOS, Android, Windows etc. Also, these OS have different versions too. So, it becomes challenging to test so many versions of the mobile app in a shorter period of time. One app that works well in one type of OS may not work well in the other. It is very important to test the application with all supported platforms and their version because we don’t know where the user is going to install the application. As per research, iOS users upgrade quickly as compared to Android but in Android the device fragmentation is larger. That means the developers have to support older versions and APIs and testers also have to test accordingly.
Device Variations: Based on Screen size
Android comes with a mix of features and variations in pixels densities and ratios which varies in each screen size. Even in the case of Apple, the screen new size was introduced with the launch of the iPhone 6. Now, it is not just about being picture perfect screen design rather designing an adaptive screen design. Well with such a variety in screen sizes, the role of the tester becomes serious as they need to check if all the features are working well in different screens and pixel and aspect ratios are maintained well.
Based on the number of Devices
The picture below shows the number of devices in the market by different brands. The number of device manufacturers has increased. According to OpenSignal, there are around 1294 distinct Android phone manufacturers alone, imagine if we add up other brands. The pace with which this data is increasing is a bit alarming for the testers as the testers have to check the app performances on different devices, they would probably need a device library to do the same. The challenge remains in context to functionalities like Complex user interactions on touch screen and keypad devices as well. Having a device library is certainly is a costly affair unless emulation is adopted which can simulate multiple device types and testing can run easily on it.
Image Source: venturebeat.com
Various Networks
The QA team also faces challenges when it has to test the devices connected to different networks. Generally, there are 2G, 3G,4G mobile data available. These provide different data transfer speed and transmission. These varying speeds of the networks by various providers remain a challenge for the testers even today. In this case, testers have to check that the app must perform well at different network speeds and connectivity quality and a check on bandwidth usage of the app. This remains a challenge as it is partially controllable based on different network providers and connectivity access in different geographies.
Frequent OS releases
Mobile Operating Systems keeps changing. Both Android and iOS have more than 10 versions of their operating systems. They keep enhancing and updating their versions for better performance and user experiences. This frequent OS release comes as a testing challenge as the testers needs to validate the complete application with each of new OS release. It is very important to test the application with the latest OS release otherwise the app performance would be a major issue and consequently loss of users using the app.
Script Execution
Another major challenge of mobile testing is what we call scripting, the method of defining a test. Script execution can either be manual or automated. You can write down the scripts in a document, which is then used by a test engineer who manually interacts with the test environment to determine the result, else you can run automated scripts that in turn drive interaction with the device and app, and record the results.
Automated scripting needs to be kept away from the device to be of any real use because there are so many different devices with different interface options. A script that follows strict keystrokes on an Apple iPhone would not have any chance of working on a Samsung device, because the UI is different. Fortunately, most real device automated testing software provides high-level scripting that operates on the text, image, or object layer. Device emulators can automate testexecution using a higher-level, abstracted scripting language that is not device dependent. When you use automated scripting, the cost of setting up the script will typically be higher than the cost of a single manual execution of a test. But if it is a test script that you run on a periodic basis, every time that you subsequently run the script, the more time and effort you will save. You will eventually recover the cost of initial scripting If you run the script enough.
So to conclude, to build a better user experience, an app tester needs to work had in overcoming the challenges of testing. By adopting some analytical skills and methods, testers can really cope up with these situations. For eg. Testing only those apps and OS which are mostly used by their user segment, by adopting a strong testing strategy to take situational decisions eg. Decisions regarding when to choose Automation and manual testing. Strategically, the challenges can be overcome.
Screen Size
The Android world is not simple. The variety of different aspect ratios and pixel densities can be overwhelming. With the launch of iPhone Xs Max which has a screen size of 6.5 inches, Apple brings new screen sizes to the iOS world as well. Though iOS developers are used to pixel perfect screen design, they now need to change their mindset to the adaptive screen design instead. For testing, it means that we need to check on various devices that all the necessary screen elements are accessible with different screen sizes and aspect ratios. There are many phones with a screen size of 5 inches which are still popular.
Security Issues
Traditional testing tools like selenium and QTP weren’t designed with cross-platform in mind. Automation tools for web apps and mobile apps are different. Operating systems especially Android further adds to the complexity with API level fragmentation. The most common automation testing tools for mobile app automation testing are Appium and calabash. Each tool has it’s own advantages and disadvantages and you need to choose on the basis for your app’s functioning.
Weak Hosting Controls is one of the most common issues. The server on which your app is hosted should have security measures to prevent unauthorized users Weak Encryptions can lead to data theft which will impact the trust factor of the users. Most of the mobile apps require user data such as email ID, password, age, location etc. This data should be encrypted and stored with proper security. Hackers often use this kind of data to get money out of users account online. Encryption will make it difficult for anyone unauthorized to intrude and retrieve that data rather than keeping it in plain text.
Power consumption and battery life
We haven’t seen much innovations in the mobile battery but the mobile usage and specifications are increasing rapidly. People are using more apps nowadays and the apps are more complex than ever. This is why testers need to test the apps power consumption because if the apps use lots of CPU cycles and some apps will also run in the background than the battery will drain out quickly. We need to make sure that the app uses less battery power so that users can use it for a longer period of time.
Conclusion
Mobile apps are evolving with device technology and user expectations. Developers are emphasizing on reducing the app size and battery usage. Testers play a major role to ensure that the app works smoothly and does not crash or have bugs. This is why testers must be aware of the latest trends in mobile app testing to deal with the mobile app testing challenges.
Technology is growing exponentially and to be in the game, organisations have no choice but to be technologically enabled. Talking about ‘technology’ basically means creating solutions that are ‘faster, ‘convenient’ and ‘qualitative’. To keep up with the highly demanding technological dynamics, not only human resources need to be equipped with the contemporaneous developments of this industry but there is also a dire need of highly standardized processes in order to deliver the top-class results. That’s when the need of DevOps emerges. Right from the planning through delivery, the idea of introducing DevOps is to maintain the quality streak by a systematic collaboration of development and automation across the continuous delivery and continuous Integration. To make it simpler, there must be a convenient way to tackle the complicated scenarios without delays and for on time delivery. Hence, the introduction of Continuous integration tools makes it easier for the developers to streamline the development processes.
Continuous Integration methodology enables developers to provide immediate reporting whenever any defect is identified in the code so that immediate corrective action can be taken. It is an important part of DevOps that bis used to integrate various Devops stages. The testing process is also automated and the same is instantly reported to the user. There are innumerable Continuous Integration tools available in the market providing access to different unique features. These have open source as well as paid versions, depending upon the need of the user, the most preferred could be selected. Although all the continuous Integration tools are designed to perform the same basic functions but choosing the best suitable CI tool becomes important in the long run. Depending upon many factors like features, cost, ease of use, etc. more than one tools can also be chosen meeting varied needs and not just the single solution. Comparing the best continuous Integration tools that are available in the market, below is the list of 10 best and mostly used Continuous Integration tools which must not be ignored in 2023.
Continuous Integration Tools
1. Jenkins
Jenkins is a known and the most common Continuous Integration tool available today. Based on various comparisons, Jenkins tops the list. Jenkins is opensource continuous Integration server-based application that allows developers to build, automate and test any software project at a faster pace. It was originally a part of Hudson project started by Kohsuke Kawaguchi in the year 2004 but it was later on released by the name Jenkins in the year 2011. The tool has evolved over the years and has become the most reliable software delivery automation tool. The source code is in JAVA with few Groovy, Ruby and Antlr files. It has almost 1400 plugins to support the automation of the development tasks. Jenkins supports the entire software development life cycle right from building, testing, documenting and deploying. Jenkins comes with WAR file that allows easy installation of the tool which needs to be dropped into the JEE container and the setup can be run easily henceforth.
Key Features:
1. It is an open-source server for Continuous Integration tool
2. It is written in JAVA and comes with thousands of plugins that help in build, automation and deployment of any software project
3. It can be installed easily on any operating systems
4. User friendly interface that is easy to configure and with easy upgrades.
2. Buddy
Buddy is a web-based, self- hosted Continuous Integration (CI) and Continuous Delivery (CD) tool also known as Buddy.Works.Buddy is a serious advancement as one of the trusted CI CD tools. It has an extremely friendly user-interface and is also the simplest tool to use for the web developers, designers and quality assurance teams. Git developers can use this tool for building, testing and deploying the websites and applications using Github, Bitbucket, GitLab codes.
Key Features:
1. Steps for launching containers, automating deployment, and setting up
monitoring can be easily customised
2. Build, Ship and Deploy as inbuilt stack feature
3. Can be deployed to any hosting and cloud service providers
4. Supports Grunt. Gulp, MongoDB, and MySQL
5. Real-time reports on progress, logs and history can be monitored
6. Docker based builds and tests.
3.TeamCity
Teamcity, first released in 2006 is a continuous Integration tool developed by JetBrains. It runs in Java environment and is used to build and deploy different projects. It supports integration with many cloud technologies like Microsoft Azure, VMWare, Amazon.
Key Features:
1. It is a free of cost Continuous Integration tool
2. Supports platforms like Java, .Net and Ruby
3. Allows easy integration with IDEs like Eclipse, IntelliJ IDEA, Visual studio
4. Allows code coverage, inspection and performs duplicates check and creates history
reports of any changes made
5. It supports running multiple builds and tests under different platforms and
environments.
4. Bamboo CI
Bamboo is another Continuous Integration (CI) and Continuous Deployment (CD) software developed by Altassian. It is written in Java and supports other languages and technologies like CodeDeply, Ducker, Maven, Git, SVN, Mercurial, Ant, AWS, Amazon, etc. The tool performs automatic build, testing and deployments. Automation thus saves time and allows developers some extra time to focus on the strategic aspects of the product.
Key Features:
1. Bamboo can build, test and deploy multiple projects simultaneously and in case of any build failure, it provides the analysis and the failure reports
2. Current status of the builds and server status can be monitored with the help of the REST API provided by Bamboo
3. Bamboo supports testing tools like PHPUnit, JUnit, Selenium
4.It is compatible with JIRA and BitBucket
5. Bamboo is related to other products like JIRA, Confluence and Clover by Altassian allowing the developers and the other team members to be at the same page
6. It can also import data from Jenkins.
5.GitLab CI
GitLab Continuous Integration tool is a complete code management platform with multiple mini tools each performing a different set of function for the complete SDLC. It is owned by GitLab Inc and was created by engineers Dmitriy Zaporozhets and Valery Sizov . It provides important analysis on the code views, bug management,CI CD in a single web-based repository which also makes it the most demanded CI CD tool. GitLab CI is written in Ruby and Go and its core functionality is released under an open-source MIT license, keeping rest of the functions under proprietary license.
Key Features:
1. It is directly integrated with the GitLab Workflow
2. Allows all critical information on the code progress in a single dashboard
3. Free for the community edition, the enterprise version is paid one
4. Language Programming CMD build scripts available allowing to program them in
any language
5. APIs are provided to allow better product integrations
6.Circle CI
Circle CI is one of the best Continuous Integration and Delivery tool available in the market. CircleCI provides a great platform for build and test automation along with comprehensive deployment process. It can be integrated with GitHub, GitHub Enterprise and Bitbucket to create builds. It also supports on-cloud Continuous Integration. Because of its strong features and efficient performance in this space, it is highly recommended by experts.
Key Features:
1. It easily Integrates with Bitbucket, GitHub, and GitHub Enterprise
2. It allows branch focused deployment
3. It performs easy bug-cleanup, runs tests quickly and is highly customizable
4. Easily integrates with AWS, Google cloud and other services
5. Build tools like Maven, Gradle can be easily integrated
7.Codeship
Codeship Continuous Integration tool was acquired by Cloudbees. It is praised by its users for its combination of features for build and deployment. It is efficient, simple and deploys directly from the Github and Bitbucket. Its features of integration and delivery are combined in such a way that it makes more reliable deployment as soon as the code is automatically tested.
Key Features:
1. It allows a very supportive environment when it comes to compatibility with different technologies, languages, deployment in different environments of choice.
2. It has a very fast and strong developer support and is very easy to use.
3. It also supports third party tools integration very well.
4.It requires a single sign-up for Github, Bitbucket and Gitlab
5. Allows simple file management configuration, easy monitoring and scale-up as per the need.
8. Cruise Control
CruiseControl is a Java based Continuous Integration platform. It is popular for allowing various source controls, email notifications and build technologies with the help of plugins. It is written in Java and has versions of .Net (CCNet) and Ruby (CruiseControl.rb.) as well.
Key Features:
1. Supplies builders for Ant, Nant, Maven, Phing, Rake, and Xcode.
2. It is an Open source Framework
3. Allows Custom build loops for build cycles
4.Its web interface provides visual status of the builds
5. Provides JSP Reporting for managing build results
9. BuildBot
Buildbot is a software development continuous integration platform that allows automatic compilation and testing in order to validate any changes occurred in the project. It is written in Python. Originally created by Brian Warner, it is now maintained by the developer Dustin Michelle. It is popular for performing complex automation testing of the Development Life Cycle processes and for application deployment. This is among one of those tools that allow distribution and execution of programs parallelly on different platforms.
Key Features:
1. It is an Open source Continuous Integration Platform
2. Automates complex building, application deployment and manages complicated software releases
3. Allows time estimation of build completion as it provides real-time insights of the build progress.
4. Uses Python, C and host requirements of Python and Twisted
5. Supports distributed, parallel execution across multiple platforms and provides extensive status reporting
10. GoCD
GoCD Continuous Integration server is owned by Thoughtworks. It streamlines the build, automation and deployments of complex build cycles. Its top USP is to enable plugins or design custom plugins for any requirements during the CI CD process. It follows business continuity concept under which it sets up multiple servers is possible in order to keep the data readily available at the time of emergency. It is compatible with Windows, OSX, AWS AMIs, Docker, Debian/APT, RPM/YUM, and Zip. It can run tests in multiple languages and provides robust reports on the insights.
Key Features:
1. It is an opensource Continuous Integration server.
2.It allows the deployment of any preferable versions of applications
3.It easily configures the dependencies based on the last report and allows on
demand deployments
4. There are numerous plugins available for this and can also be customized as per the
requirement.
5. It re-uses the pipeline configuration keeping the configuration organized with the
help of its template system
6. The entire workflow can be tackled and watched with good tracking and feedback
system allowing the developer to track changes from committing through
deployment at a single place.
Conclusion
The above list of best Continuous Integration tools describes each of the ten tools in detail and covers the best of all along with their main features. This information is insightful for those who still haven’t thought of inculcating these automation tools to build and deploy various aspects of the Software development projects. Continuous Integration, delivery and deployment are very critical and complex systems in the Software theory. They need to be handled with care in order to fetch great results. Choosing the right tool for your business would certainly help handle this responsibility well. It is not about choosing one best tool, but multiple tools can also be selected based on the requirements of the project. As the CI CD continues to grow and evolve, it leaves the innovators with more chances to explore on creating the best versions of such tools.
Technology and innovation are two sides of the same coin. Technology is the power that lets the mankind turn ideas into reality within no time. At pCloudy, the power of innovation has led us to stay aligned and be in pace with the dynamics of the mobile app industry. We cannot afford to let our customers stay deprived of any technological advancements happening in mobile app testing. Once again we are back with another new feature called QR code scanner and we are proud to announce that it is already launched on our platform.
Nowadays many mobile applications use QR code scanners for a product or user identification. The QR Code scanning feature in pCloudy enables users to test the QR code feature through mobile applications on multiple devices present in pCloudy. This feature ensures the smooth functioning of the QR code function present in the mobile application. To use this feature, all you need to do is upload the mobile app under test, a QR code image file, and with the help of some simple steps, you can smoothly perform testing of the QR code scanning function of your mobile application.
The app will scan the injected QR code. You can scan multiple QR codes while testing your app on different mobile devices. So from now on you can easily perform QR code testing in pCloudy. This feature is supported on Android 5.0 devices and later versions. Supported QR Code file formats are .png,.jpeg and jpg.
In today’s organizational environment, ‘DevOps’ is the most used buzzword and has become a part of its agile software culture. Organization’s DevOps success is not a single goal approach; it requires deeper involvement for making a switch to DevOps. Broadly, it requires adoption of new DevOps automation tools, contemporary processes and cultural shift, especially in case of Mobile DevOps tools selection. A business has to be equipped with ever-evolving principles and DevOps automation tools in order to embrace these steps to successful DevOps test automation.
There are multiple Mobile DevOps Tools with different strengths contributing to a reliable Mobile DevOps process. Today, the businesses and the development teams are investing in intelligent systems that are capable of monitoring the production and development metrics in real-time. This acts as great deal for the development firms unless it covers all important aspects of the process allowing perfect optimization of the resources based on the reports.
The journey from planning, development, deployment and beyond, generally called ‘shift left’ process which is a part of continuous testing. In this approach, the testing is mostly focused on earlier stage of production life cycle aiming at delivering applications faster and with much lesser time and money. When it comes to mobile apps testing, the shift left approach works well because the application has to be tested well in order to perform well in the real-environment. In case of Mobile DevOps, using production environment to test the mobile application on real physical devices would help highlight and fix issues in the earlier phases of SDLC, reducing costs and time.
Gone are the days when testing was only executed as a final step of the processes where as nowadays, it has to be performed after every build, at every stage of the process. It is with the help of multi-step testing and maximum data capture after each test cycle, that the status of development and testing hasn’t been compromised enabling early bug-fixing and building more strong applications especially when this process is simplified with the help of DevOps automation tools. DevOps and Automation go hand in hand. Despite many challenges, it carries a much strategic role to bring the whole business making faster and better applications. A developer has to have a combination of agile development methods along with Mobile DevOps to win in mobile application; this can be achieved with the help of right DevOps automated testing tools.
Below are the 7 most common Process Steps with Mobile DevOps Tools:
CODE
Anything related to real development is related to continuous integration whether it is code development or code reviews. The way developers work today by collaborating; integrating all the things together is all a gift of the agile approach which is responsible for making continuous integration popular. With the adoption of continuous integration early stage issues are detected which ultimately reveals any integration glitches, faults in the code commits, etc. It generates a lot of data required for making right choices to be made by the developer as it showcases a lot of data about the mobile application that the developers can use to make the code better. This thus ultimately helps in estimating the scheduling and time consumption more accurately.
BUILD
Build is nothing but application components that are collected repeatedly and compiles for the purpose of testing to produce a reliable final software product. This is not a one-time job, instead it is a developer’s everyday task of creating various builds of applications. In Mobile DevOps scenario, in order to notify the status of the build, the developers use various version controls and source code management techniques. Software Engineers normally follow branching techniques in case of Mobile DevOps like no branching, release branching, maintenance branching and branching for features.
TEST
Testing is something that acts as a backbone of building a quality product. It is the QA team that is responsible of maintaining the sanity of the software, detecting errors early and quick bug fixing. Testing is the most integral aspect of SDLC. Considering the Continuous integration principles, automation testing needs to be automated in order to enjoy the seamless results i.e rich and flawless application. Testing in Mobile DevOps for a production environment should always be performed on real mobile devices and not on Simulators.
PACKAGE
Packaging in Mobile DevOps is already known. It is all about tools for package repositories and storage mechanisms for the binaries created during the software build. Binaries like scripts, configuration files and other files facilitate deployments; these are contained in the asset repositories. Continuous deployment eases the application testing and production with the help of automation, flawlessly. Packaging enables the releases of new versions and features of applications to the end-users.
RELEASE
In Mobile DevOps process, there are myriad of tools that are used in aiding in the process of CI/CD and continuous release. As a part of this, there are application release tools as well that help in packaging and deployment of an application right from the development to production, to be available to the final users using automation. Release management is a critical expertise which involves planning of every release and deployment by easy collaboration with the stakeholders. This is accomplished with the usage of release management tools that help stakeholders to plan and execute and trace the releases from a single platform.
CONFIGURE
Configuration is a second name to Infrastructure as a Service. Configuration tools enhance the cost-effectiveness and create applications with better flexibility and performance. The aim of this process step is to remove any unwanted manual configuration. In DevOps , the focus is on automation and collaboration, so configuration being a part of the ecosystem is also automated across various development flows.
MONITOR
Without valid data, no corrections and improvements can happen. Thus, monitoring becomes a very important aspect of the Mobile DevOps ensuring that the organizations get the right metrics about the processes, stage wise results and final outcome. Continuous monitoring allows stakeholders, developers, testers and other people involved, the access to right information for evaluation and decision making. This step is guide to all teams involved and has an impact on all the other steps. Thus making it a critical process step with Mobile DevOps tools.
Traditionally, the Process Steps involved planning, developing, testing and deploying but this is not it, there are many more aspects to it that are the key deciders in selecting the tools and how they fit together to enable tool flow in SDLC. DevOps test automation helps in achieving integrated development and delivery using the right combination of DevOps automated testing tools.
