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Top 10 Test Automation Frameworks in 2020

Suyash Dubey
By Suyash Dubey
August 17, 2020
11 min Read
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Top 10 Test Automation Frameworks in 2020

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 test 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 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 test automation frameworks:

  1. Module Based Testing Framework
  2. Library Architecture Testing Framework
  3. Data Driven Testing Framework
  4. Keyword Driven Testing Framework
  5. Hybrid Testing Framework
  6. Behavior Driven Development Framework
  7. types of automation frameworks

Benefits of a Test 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:

  1. 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.
  2. 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.
  3. Improved Testing efficiency: Testing takes up a significant portion of the overall development lifecycle. Even the slightest improvement of the 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.
  4. 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.
  5. 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.
  6. 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.

Suyash Dubey
Suyash Dubey

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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Integration of TestNG Project with pCloudy Platform

Avinash
By Avinash
July 11, 2017
3 min Read
Share This Article
Integration of TestNG Project with pCloudy Platform

TestNG

TestNG is a testing framework inspired from JUnit and NUnit but introducing new functionalities that make it more powerful and easier to use.

It is an open source automated testing framework; where NG of TestNG means Next Generation. TestNG is similar to JUnit, especially when testing integrated classes.

TestNG eliminates most of the limitations of the older framework and gives the developer the ability to write more flexible and powerful tests with help of easy annotations, grouping, sequencing & parameterizing.

Benefits of TestNG

There are number of benefits but from Selenium perspective, major advantages of TestNG are:

  • It gives the ability to produce HTML Reports of execution
  • Annotations made testers life easy
  • Test cases can be Grouped & Prioritized more easily
  • Parallel testing is possible
  • Generates Logs
  • Data Parameterization is possible

Architecture of the testNG framework

TestNG Framework

pCloudy

pCloudy platform provides single click access to real Android and IOS devices directly from your browser. Use these real Mobile Devices to click-and-perform Manual Testing and execution of Automation Testing for your App. Integrate our platform with CI for continuous Automation Testing and test your App on multiple real Mobile Devices with every change of your App.

Now it’s very much simple to integrate your existing TestNG project with pCloudy.

Architecture of the TestNG framework with pCloudy

Architecture of Testing Framework with pCloudy

Prerequisite to integrate framework:

  • TestNG Project or Download sample framework code
  • Steps to integrate:

    1. Add pCloudy connector jar in your existing project

    pCloudy Java Connector

    2. Add Controller class in existing project

    Controller

    3. Add DeviceContext class in existing project

    Device Context

    4. Add a list, which contains the classes that you want to run, pCloudy username, pCloudy API key & application path in Controller class.

    Create A ListUser Authentication with pCloudySelect APK in pCloudy

    Controller class

    • contains public static void main methods.
    • helps to create dynamic testng.xml file with selected device test.
    • runs testing.xml as testng target.

    5. In TestNg class, add code to launch appium under @BeforeClass, @BeforeMethod annotation according to your project:

    @Parameters({ “myDeviceContext” })
    @BeforeClass
    public void beforeClass(String myDeviceContext) throwsConnectError, IOException, InterruptedException {
    DeviceContext myContext = Controller.allDeviceContexts.get(myDeviceContext);
    try {
    myContext.driver = newAndroidDriver(myContext.endpoint, myContext.capabilities);
    } catch (Exception ex) {
    ex.printStackTrace();
    }
    }

    6. In TestNG class, add code to quit driver under @AfterClass, @AfterMethod annotation according to your project:

    @Parameters({ “myDeviceContext” })
    @AfterClass
    public void afterClass(String myDeviceContext) throws ConnectError, IOException {
    DeviceContext myContext = Controller.allDeviceContexts.get(myDeviceContext);
    myContext.driver.quit();

    }

    7. In TestNG class, add code to close pCloudy appium under @AfterTest annotation according to your project:

    @Parameters({ “myDeviceContext” })
    @AfterTest
    public void afterTest(String myDeviceContext) {
    DeviceContext myContext = Controller.allDeviceContexts.get(myDeviceContext);
    try {
    myContext.pCloudySession.releaseSessionNow();
    } catch (ConnectError | IOException e) {
    e.printStackTrace();
    }
    }

    8. Run the TestNg framework execution by running controller class as java application.

    Create support ticket; if you have any issues our expertise will help you.

    Keep Automating…

Avinash
Avinash

Avinash Tiwari is a thought leader, a recognized keynote speaker, and the co-founder of pCloudy.com. He has 15+ experience in Product development and Testing. He brings with him a passion for emerging technology and quick adoption, both of which have solidified his reputation as a leader in the mobile app testing field.

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