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What are the top automation testing trends to look out in 2020?

Anyone can help me finding the top automation testing trends to look out in 2020?

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Posted 3 months ago


Some of the top automation testing trends for 2020 are given below:

  1. Selenium 4 Will Be At The Centre-Stage Of Automation Testing The selenium test framework is synonymously used for automated browser testing and Selenium 4 is one of the most awaited versions of the framework. Selenium 4 not only has a number of feature improvements like better docker support, identification of parent frame, and better-formatted commands to access a Selenium Grid but has a slew of new features. Some of the new features in Selenium 4 are the support of relative locators, better windows & tab management of web browsers, support for native Chromium driver for Microsoft Edge browser, and more. We have already tested the alpha version of Selenium 4 and are quite bullish about what the stable release of Selenium 4 will bring to the table. Selenium 4 should be the top automation testing trends in 2020 as it will be eagerly watched by all test automation enthusiasts.
  2. Codeless Automation Testing To Rise Again In Popularity Selenium automation testing is widely used as the Selenium framework is supported by popular programming languages like C#, Python, Ruby, Java, JavaScript, etc. Hence, the development of test cases related to automated browser testing requires programming knowledge to work with Selenium WebDriver or Selenium Grid. Codeless automation testing tools are built on AI technology and visual modeling allows accelerated creation of test cases that cater to Selenium automation testing. Using these tools, testers can create test scenarios without any coding knowledge and minimize the time spent on repetitive test cases. Increased adoption of codeless automation tools will be one of the automation testing trends in 2020 to watch out for.
  3. Test Automation Frameworks To Enable Testing At Multiple-Tiers The advantages of using test automation frameworks that enable testing of applications at multiple layers are multifold. These frameworks not only accelerate the activity associated with automation testing but also provide integration into the DevOps build environments. Selenified is one such popular test automation framework that has powerful features like traceable reporting, the ability to invoke dynamic waits, custom reporting, and much more.
  4. QAOps To Be Adopted At A Wider Scale QAOps is a new flavor of DevOps where the software QA team and operations team work together in close collaboration to deliver a quality software product. QAOps improves the overall software delivery process resulting in a more integrated and seamless operational software model. QAOps is about applying the core fundamentals & learnings of DevOps to the QA process. QAOps results in better collaboration between the developers, testers, and the product team as the testers would no longer work in silos. In 2020, we expect more software product organizations to use QAOps to streamline their QA process and reap the benefits of DevOps in the Quality Assurance/Software Testing department.
  5. Agile and Test Automation Will Go Hand-in-Hand Many industry experts predicted the death of Scrum but the bottom line is that the majority of the organization’s world over still make extensive usage of Agile methodologies. Inclusion of automation testing has always been challenging as organizations are always looking out for tools that can complement Agile and test automation. AI and ML-based test automation tools could make this possible as it will ease the integration (and usage) of Agile with test automation.
  6. Self-Healing Test Automation Will Gain Traction Artificial Intelligence (AI) and Machine Learning (ML) are being widely used to not only solve a distinct problem but also to optimize the process of development & testing. AI is leveraged in testing to reduce the test lifecycle and is used in all aspects of testing including automation testing, performance testing, functional testing, regression testing, etc. To achieve the goal of autonomous testing and harnessing the power of AI in testing, AI has to become an integral part of software testing tools. Each test cycle generates tons of data and that data can be used for identifying and resolving test failures. After each test run, the data/learning can be fed back to the AI/ML algorithms. This data will train the algorithm and that learning will help the test tool to identify the ‘expected behavior’ for those tests. This enables decision-making at runtime as the tool is in a position to flag a test as ‘failed’ in case there is any deviation from the expected behavior.
  7. Distributed Cloud For Cross Browser Testing To Become A Lifeline Selenium automation testing approach on the local Selenium Grid is not scalable and this shortcoming has prompted many enterprises to shift their automated browser testing activities to cloud-based platforms. With the rise in the number of devices (with different screen sizes and form factors) being released each year, cross browser testing on-cloud seems a more viable option. With a growing customer base spanning across multiple countries & continents, there could be intermittent delays in the test execution if the tests are being executed on a cloud-hosted in a faraway location. The adoption of distributed cloud will rise exponentially in 2020 thereby improving the speed and efficiency of test execution.
  8. AI and ML Will Be At The Forefront Of Automation Testing During the process of product development, there might be a number of test scenarios that fail when there are underlying changes in the UI of the web product. This sight is very common for any type of web product (website/web application). The downside is that developers need to spend a considerable amount of effort to accommodate changes in the test code. AI will also be used to tackle challenges related to image recognition as AI algorithms are capable of capturing and analyzing data on the DOM. Machine Learning algorithms will go mainstream with UI testing as the user interface can be broken down at pixel level. The image patterns obtained via AI/ML algorithms can accelerate the testing of UI interfaces.
  9. Hyper Automation To Be Used Extensively Hyper Automation is a combination of tools including AI, ML, Natural Language Processing (NLP), Robotic Process Automation (RPA) that are used to leverage the advantages of AI-driven decision making. Hyper automation tools enhance human productivity by automating mundane processes that do not require any human intelligence. Organizations are expected to use a combination of AI and RPA for test automation and analysis of automation reports. Hyper automation is one of the automation testing trends in 2020 that will be in huge demand.
  10. More Enterprizes To Lean Towards Shift-Left Testing With the evolution of Agile and other methodologies, testing is no longer performed at the end of the development lifecycle. On the other hand, the shift-left testing approach is used extensively as it enables testing to be performed much earlier in the product life cycle. There are a number of benefits of shift-left testing – reduced costs in development & testing, early detection of bugs, and timely communication between the development & testing teams. In the shift-left testing approach, the development and testing teams work in tandem to achieve common goals. Shift-left testing techniques are instrumental in detecting bugs at an early-stage of product development as their detection at a later-stage can hamper the timelines of product development and release. Shift-left testing will be one of the key automation testing trends in 2020 as more organizations plan to leverage the benefits of this testing approach.
  11. Exploratory Testing Will Become A Routine For Every QA With an increased emphasis on automation testing implementation, across various organizations, Exploratory testing will become a routine of every QA on-board in a project. As automation testing will help to take care of the repetitive tasks, automation testers will be expected to find more unique test cases around their web application, in their added bandwidth. Automation testing will help them to emphasizes more on exploratory testing, so that they could come up with critical test scenarios that were unnoticed by the scripted testing so far. Due to faster go-to-market and the growing importance of Agile & DevOps on the development & testing departments, exploratory testing will become inevitable as a consequence of automation testing trends in 2020.
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