Software testing has evolved a lot since the time when the waterfall model was used. All the work was done in a sequential manner and only after the development phase was complete the testers used to test the product. Testers used to find bugs but a lot of time and energy was wasted in the process to rebuild and code again.
Now companies are using an Agile model where the main goal is to find the bugs in continuous development, fix them quickly and release the app faster. There is a need to improve the automated testing process to complement the manual testing. More emphasis has been given to CI, CD, and DevOps to make the software development effective.
There has been a considerable change in the functioning of testing tools and test automation frameworks. The most important change is the introduction of AI in a test automation strategy.
According to G2Crowd, AI-powered bots are expected to cut business cost by $8 billion by 2022. Testing bots are already empowering automation testing and will play a major role in reducing the time and effort spent in mobile app testing.
Let’s have a look at how AI is breaking new ground for test automation.
1. Running automated tests that matter
It’s not a good strategy to run your entire test suite due to a very small change in your app that you couldn’t trace. You are probably already generating a lot of data from your test runs if you are doing continuous integration. But it will take a lot of time to go through the data and search for common patterns. So you need to know if you make a small change in code then what is the minimum number of test you need to run to figure out if the change is needed or not.
2. Reducing maintenance and eliminating flaky test
We can run several automated tests on a daily basis to ensure the functionalities of the app are still stable. Although, if we find out that half of this test failed. In that case, we would need to spend a lot of time to troubleshoot the failures and investigate the cause. Then there is a need to find ways to fix the failures and then work on the changes.
Using AI we can avoid issues and start detecting issues in the test before they even occur. So instead of reacting to it, we can proactively fix tests. AI can figure out which tests are stable or flaky based on the number of test runs and it can tell us what test needs to be modified to ensure test runs are stable. AI can also handle test running on different resolutions and can optimize the wait time used in the test to wait for the page to load.
3. Dependencies on other modules
Writing a test for systems having dependencies on other modules is also a challenge. AI can help us to mock responses from a database or server. The AI can start recording server responses once we have written the test and have run them for a period of time. So the next time we run the test it will access the stored responses and will continue to run without any obstacles. This will speed up the process as the delay in response is eliminated and the server or physical database is no more needed.
4. Learning from production data
Real user data can be used to create an automated test and with the help of AI, we can observe and learn how the customer is using our product. We can identify common actions such as search option, using filters, login/logout, etc and compile them into reusable components. These components can be used for our test as well. Therefore, we have an actual test written by AI based on the real data along with the reusable components.
5. Easy execution of tests and speeding up the release
In automation testing, the time and effort it takes to write and execute a test is a major challenge due to the complexity of the test automation tools, app, and programing language used. To mitigate these problems AI-based tools are being used. The use of dynamic locators and reusable components has made it possible to write and execute a test in hours which earlier used to take a week.
Conclusion
The DevOps theory says test early, test often, but this puts a lot of responsibility on the testing team. Also, it’s not feasible for testing teams to spend time to do exploratory testing manually for each new release. AI-based tools can perform codeless automation testing which will save us time and resources and give the testers some space to breathe.
Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.
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In the year 2020, there will be around 5.5 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.
Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.
Some testing teams set up their own staging environment to test internal servers but as there is no public access which makes it difficult to perform local testing on remote devices. So how would you test your app which can…
pCloudy is committed to delivering the best solutions in mobile app testing and therefore we come up with product updates at regular intervals. This time we are thrilled to announce the release of pCloudy 5.6 with exciting new features to…
Remote working is going to be a new normal and remote access tools and platforms will play a key role in maintaining productivity. Working from home has many advantages both for enterprises and teams. There are many tools that help…
Since there are many players in the mobile app market, the competition is endless. To beat the heat and to keep providing an enhanced mobile app experience to the users, the app needs to be constantly updated with the changes happening and for doing this, there are different types of testing techniques. Let us have an insight into the types of testing methods.
1. Compatibility Testing
Compatibility testing is a critical QA task. It assures that a given application works as intended with selected operating systems, selected devices with different screen sizes resolutions, and internal hardware (memory size, processor speed, and button/input differences). It defines the feasible compatibility combinations of devices and interfaces for a specific testing assignment, in concurrence with the customer’s requirement.
There are different factors that play a very significant role in mobile compatibility testing strategy. Mobile operating systems and their supported versions, mobile devices developed by different manufacturers, different device screen sizes with different resolutions and internal hardware including different input types, processor speeds and memory size of devices.
Let’s develop a test strategy for compatibility testing. The first step is to identify the Operating systems and devices based on key factors described in the previous slide. Once you identified the devices based on different compatibility factors you need to set up your environment for testing. You can either set up your internal test lab or you can go for external cloud providers like pCloudy. Now, the next step is to execute your test cases on a defined set of environment. Report the defects to appear while testing and report these defects to your development team.
The main purpose of compatibility testing is to ensure whether different software is compatible with different configurations and whether the application is compatible with the client’s environment.
2. Installation Testing
Mobile phones come with different types of mobile apps like Native and Web and Hybrid. Installation testing is a type of testing that is done at the initial stage of mobile app life span or maybe it is the first impression on the users, in other words. Installation testing checks whether the mobile app installs, uninstalls and updates properly without any interruption.
There are some of the factors that play a significant role in installation testing of an application. Factors like which platforms and operating systems supported by the application and how they will be distributed whether it is directly available in the app store or are going to get the installable files on mail itself or is it available on an app distribution platform and can be accessed through public URL. The user behavior regarding installation changes from person to person. For eg: the developer may install the app (By using ADB install command) and a different user might directly install it from the app store or public URL.
Important points to be noted in Installation Testing:
Some of the common checkpoints which can be converted to standard test cases are:
Installing the app in phone memory.
Installing the app in phone memory is full.
Installing the app on an external SD card.
Installing the app on an external SD card is full.
Check the memory space after installing. It should not occupy more than promised.
Check if it is releasing the space after removing
Another part of the installation and uninstallation testing is the testing of patches/updates
These are the common situation when we need to test app after updates.
Check for updates:
Can I download an update?
Can I update the app when there are multiple updates available?
What happens if I don’t update?
When App is upgraded:
Check that the user is still logged in
Check that data is still the same
Backward compatibility:-Check that database changes will not affect the current data.
Test the update from an older version to the current version
When OS is upgraded:
Check the app compatibility.
App updated gracefully without a crash.
3. Interruption Testing
Interrupt testing is a process to replicate abrupt (Unexpected) interrupt to the application. It is done to understand how the app behaves under certain interruptions before resuming to its original state. This can be achieved in various ways and techniques depending on the application under test.
Following are some Common Interrupts:
1. A phone call when the application is running or is in background
2. Battery removal when the application is running or is in the background, battery high, battery low, incoming call or SMS
3. Plugged in or out of charging
4. Device shut down
5. OS upgrade
6. Network loss and restoration, etc.
Some specific scenarios for an application using a network:
1. Connect to the network but remove LAN connection from the router so the device can sense wifi state on the device but cannot connect to the internet
2. Connection via VPN and VPN disconnected
Scenario for Application using services:
1. Kill service by clicking on the recent button and swiping the application right to kill app and services
2. Kill app using third-party App killer
3. Kill specific services from Settings->Manage Applications
4. Scenarios for Application Linked to account Manager
Remove account from Settings->Account Manager
Incoming and Outgoing SMS and MMS:
An application is running in your mobile and you send an SMS/MMS from another mobile to your mobile. In this situation, SMS/MMS notification should display for a while and then close and the application should continue to run.
Incoming and Outgoing calls:
You are in a login page trying to log in and you have just pressed the submit button that will take you to the application home page. This is a transition period because loading is happening.If we receive a call during this time then the application should not end abruptly or crash.
Battery Removal:
If the application is running, remove the battery of your mobile and it will shut down. After rebooting the mobile, run the application again, it should run smoothly and without a crash.
Data Cable Insertion and Removal:
When the application is running, connect the USB Cable, the system should display “USB Connection Screen” and if the user returns to the application then the application should not crash or end abruptly
Interruption Testing Strategy
Let’s prepare a test strategy to test interruption testing:
The first step in this process is to decide the critical interrupts based on your application components and architecture. For example, if your application is using GPS include common interrupts related to GPS. Let’s Include two type of interrupts:
Application specific interrupts:
Prepare your test cases and try to fit theses interruption test cases with state of the application. For example, interrupt your Network while performing payment.
Interrupt testing process:
List of common Interrupts:
Phone calls, Text messages, App notifications, Battery Warning, Forced updates, Voicemail, Shaking the Phone, Different Gestures, Switching between apps, Locking and unlocking the screen, Changing the orientation, Music playing while using the app, Out of memory (general performance interruptions), Data app interruptions (What Sapp, Viber, Tango), Audio interrupts from multiple sources (iPod, Media player, Other audio apps), phone in standby mode, switch the network to plane mode.
Tools to test interruption Testing:
Use tools like Joule Unit (Android), On iOS use the Energy Usage Function of Instruments, Monkey for Android to stress test your app and see the handling of the interrupts, UI Auto Monkey for iOS
Scenario
A) Once the user connects the mobile earphone jack with Nokia Lumia and starts music Player.
B) Now when the user resumes the application the cart gets empty.
4. Localization Testing
This type of testing is a technique in which we check whether the mobile app adheres to the local cultural settings, customizing the apps according to target country and language and also according to the linguistic aspects. Localization is also known as “L10N” as there are 10 characters between L & N. For eg: Chinese language-search engine offered by Baidu beats Google in China. Baidu does better than Google because it looks and feels fully native to the Chinese speaking audience.
Also, regional language speakers can’t get many games in their own language, so they turn to race games, which are easy to understand. We must have noticed in these examples, language is the common issue. Apart from Translation there are different other elements in the localization, like Usage of proper Time zone, local formats of dates, addresses and phone numbers, Design and layout to fit translated text, Converting to local requirements (such as currencies and units of measure), Adapting graphics to target markets, Modifying content to suit the tastes and consumption habits of other markets, Addressing local regulations and legal requirements.
Why should we localize?
Localization is important in order to understand the cultural and linguistic aspects of a particular region. While testing, testers keep repeating the tests to check typographical, linguistic errors, cultural appropriateness of the UI, etc. Research says:
1.56.2 percent of consumers say that the ability to obtain information in their own language is more important than price. (Common Sense Advisory, Can’t Read, Won’t Buy: Why Language Matters on Global Websites, 2006)
2.74 percent of multinational enterprises believe it is either important or most important to achieve increased revenues from global operations. (California State University at Chico, 2007.
3.95 percent of Chinese online consumers indicate a greater comfort level with websites in their language. (Forrester Research, Translation and Localization of Retail Web Sites, 2009)
4. A critical success factor for cross-border merger and acquisition deals is the ability to communicate information clearly and accurately in multiple languages. (Merrill Corporation, How to do Better Multinational M&A Deals, 2008)
Types of Localization Testing:
In the localization testing, validating whether a mobile app is capable of performing given a geographical location, in particular, is found out. It includes four major types of testing like linguistic, culture, cosmetic, and functional tests. 1. Linguistic testing– ensures that the UI text appears in the congregation with the language and is not mistranslated or misapplied. This requires language skill and knowledge of the product. Mistranslation, irrelevant usage of the language are few of the errors in this.
2. Cultural Testing– Few words may imply different meanings in different cultures. So, this has to be translated properly in relation to the target culture.
3. Cosmetic Testing– For easy understanding, let us use this scenario. For eg. In the apps used in Afghanistan, the text will be in Arabic and will start from right to left unlike other languages like English, French that are read from Left to right.
4. Functional Testing– In this testing, testers follow prescribed test scripts to run through all aspects of the product to make sure it functions as designed in a localized environment. Often functional testing includes verification that the localized product is compatible with various operating systems and third-party products. Functional testing generally requires a good knowledge of the target language and total familiarity with the product. Some of the major Functional testing problems may include– Incorrect or missing UI elements, graphics, and windows, Incorrect error messages, Localization bugs that may cause software crashes, Errors generated by installing the localized software on a localized OS.
5. Performance Testing
Performance testing is to test the performance of the mobile application in expected workload scenarios and to eliminate the performance hurdles. It checks whether the response of the app is quick, the ability of the app to tale load, and app stability in those load situations. Performance is very critical because if the app is malfunctioning, it is more possible that the user might uninstall the app and might shift to a competitor’s app which is better.
App start-up time is the most critical performance parameter from the user’s point of view. It shouldn’t take more than 2 seconds for the app’s first screen to pop up after the user taps on the app’s icon. Battery time is the second most important issue. Some apps consume a high amount of battery life. Excessive resource usage creates a burden on the processor and the phone heats up. In some cases, it is observed that the new app installed uses the same amount of battery as the OS. If more features are added in the app its memory consumption also increases. This is why memory consumption should be checked while testing the app.
Network Performance
The app needs to be tested on different mobile networks and network properties. If there is packet loss then the app should generate alerts or resend the request for the information. Jitters or delay in receiving information
Server/API Performance
Performance is directly proportional to the response time from the Server. In this, tests are run to check how efficient the app is to handle data transfers from the server and how quickly and in what format the data is transported by the app. The number of API calls generated by apps should be lesser and how and where the data is saved in the ‘server down’ case is all that is tested here.
Mobile app testing tools make it easier for the testers to identify and rectify any error that comes up. For different OS there are a different set of Mobile app tools. For Android, we can use Robotium and Monkey Runner and for IOS we can use Automator.
6. Usability Testing
Usability testing is a type of testing which is performed to check how user-friendly the mobile application is in terms of the navigation, ease to use the app, flexible app controls, etc. It is also known as user experience testing.
What matters in Usability Testing?
Workflow: To understand, below image represents the workflow of how the user reaches its goal while navigating through the app controls.
We must understand what the user needs to do in order to use the app’s functionality. If the workflow was overlong and included repetitive actions It may annoy the user while performing the task. Design and Layout: Good layout and design allow a user to easily complete tasks. An app need not offer so many features or content that the app is difficult to navigate. A friendly app has a design that allows less user text entry, helps differentiation between the selected items, finger-sized targets, should provide intuitive hints to texts, etc.
The response time of the application: It is one of the key factors. This means how long the user takes to complete a task. Often long delays while the app interacts with the server hinders the user experience standards.
The emotional state of users: Emotional state of user measures the user’s motivation to use the app. The apps should be smart enough to understand what the users want and how to engage them, this can be achieved by usability testing.
Usability Testing Strategy:
The first step is to identify users who match your expected audience. Watch and listen to them as they use your products. You can use video and audio recording equipment for archiving test sessions, in case later review is needed. However, our primary tool is taking notes with paper and pencil! This is still the fastest way we have found to get information quickly to developers and designers. You have your data. You now need to organize and analyze it. How the results are absorbed as a report in order to be useful for product changes.
Tools and techniques for usability testing
1. Mr. Tappy: It is a tool set up to capture how users interact with the apps naturally. The user data so generated could be used for better user experience.
2. Paper Prototyping: It is a technique that consists of creating hand drawings of user interfaces in order to enable them to be rapidly designed, simulated and tested. As simple as this technique may look like, it has been effectively used since the 1980s and is likely to continue to be used with a guaranteed degree of success for many more years to come.
3. Magitest: It allows you to perform mobile user testing of native apps and websites. Captures the participant’s voice and facial expressions during the session. Here the users complete the tasks you specify and allows to listen to them speak their thoughts aloud as they interact with your mobile app.
4. Reflector: This app allows us to see the iPad, iPod, iPhone screens on MAC or PC. The devices connect wirelessly to proceed with further functions.
7. Conformance Testing
Conformance/compliance testing is a type of testing which is performed to validate if the application is meeting the Market place and Enterprise policy guidelines. It is like an audit done to check whether certain standards are being met or not. Conformance Testing is focused on two main areas- App store guidelines and Enterprise policy compliance. Each Market place has their own guidelines. We need to validate if the application is following the guidelines of each of these app stores.
1. App store Guidelines pertaining to User Interface, Media Content, Privacy, Spyware and Phishing, nudity, religion, culture, violence, etc.
2. Enterprise Policy Compliance pertaining to a different set of industrial standards. For eg: For the pharmaceutical industry, the Food and Drug Administration (FDA) passed rule comes into the picture, For the pharmaceutical industry, the Food and Drug Administration (FDA) passed rule comes into the picture, In healthcare, the Health Insurance Portability and Accountability Act (HIPAA) includes an administrative simplification section, which mandates protecting the information assets of patients. So, it is a dire need for the testing organizations to follow the necessary guidelines and compliances to limit the risk that non-compliance might follow.
Reap the benefits of different types of testing
In this day and age, mobile app quality matters the most as the market is very competitive. We need to focus on user experience as well as the performance of the app. If the app contains bugs the app ratings will go down and so will the number of app downloads. If we can make our app bug free than the chances of app gaining popularity will increase. This can be achieved by performing different types of testing on the mobile application. In the next blog in this series, we will talk about mobile app testing strategies.
Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.
pCloudy is committed to delivering the best solutions in mobile app testing and therefore we come up with product updates at regular intervals. This time we are thrilled to announce the release of pCloudy 5.6 with exciting new features to…
Remote working is going to be a new normal and remote access tools and platforms will play a key role in maintaining productivity. Working from home has many advantages both for enterprises and teams. There are many tools that help…
Testing framework plays a crucial role in the success of any automated testing process. Choosing the right test automation framework is important as it will maximize the test coverage and improve test efficiency which means a better return on investment.…
Do you know why Google has selected Gradle as the build system for Android Studio? Many Android developers work in a heterogeneous environment with different technology stacks. Gradle solves some of the hardest problems faced by the developers like how to automate the testing of apps and how to manage dependencies and variations that allow professional developers to develop variations of their app with one click. This is why pCloudy came up with a new update where you can now run Espresso with Gradle on pCloudy devices. Let’s get a brief introduction about Espresso and Gradle before we learn how to run Espresso with Gradle on pCloudy devices.
Espresso is a testing framework for Android which automatically synchronizes your test actions with the UI of your app. It also let the test wait until all the background activities have finished.
Gradle is an open source advanced build tool that allows seamless execution of tasks. It uses domain specific language and it is based on Groovy and Kotlin. It is a plugin based system so if you want to automate the task of building some package from sources then you can write the complete plugging in Java and share it with the world.
Gradle allows efficient and repeatable use of espresso and Test Orchestrator which allows automated yet fine-tuned control of the way you run your test. You can decide which specific test suites to be run to distribute the test cases across different devices. It is preferred by developers as it allows deep unit and functional testing rigs.
Power up your DevOps with Espresso and Gradle on pCloudy
You would be running Espresso on your machine using Android Studio and Gradle. However, the test would be running on pCloudy device. There is a pCloudy Espresso script that is provided by us and you need to put that espresso script in the workspace of the project. Along with the Gradle script, you will also get a config file. The gradle script will read input parameters from this config file.
Then you run Gradle to invoke the script which will upload your Application APK, test APK and other APK files to pCloudy. It would acquire a device to run your test on, it would execute those tests it will report back the status of what is happening into the Android Studio. After the test cases are run you can see the detailed reports and after that gradle script will release the device for other users to use.
There is a one-time setup that you need to do to place the gradle script in the workspace and you need to fill in the configuration file. So when you run the gradle script it will complete all the task for you and generate the report.
Steps to run Espresso with Gradle on pcloudy
1. Download the espresso starter pack from here and Unzip it
2. You will find three files,
a. pCloudy_Espresso.jar
b. Config.properties
c. build.gradle.SAMPLE
(This is a sample build.gradle that shows how to change your build.gradle to add the pCloudy Espresso jar.)
3. Copy the contents of the file build.gradle.Sample to the build.gradle file of your Android Application to register the new Gradle task and update as appropriate (see the image below)
4. Place the config.properties file in your android workspace in the same directory as your build.gradle file.
5. Update the config.properties file as guided in the comments in the file.
6. In your Android workspace run the command by typing the name of the gradle task as below.
7. Once the test execution is complete you will get a URL of the test execution report. Some fields in the report are empty right now. We will fix them in subsequent phases.
The use of gradle has made it easier to run Espresso test on pCloudy devices. We can just use the configuration file and easily run the test scripts on pCloudy devices. This will save time and effort as it further simplifies the app testing process in pCloudy.
Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.
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