The domain of automation testing is gaining paramount importance in the software world and for good reasons. It has proved to be an effective game-changer by improvising the quality assurance processes and scaling up the productivity of software development activities. With advanced automation testing trends going to make a remarkable feat in the software development and software testing domain, businesses will be able to reap a good amount of benefits in major ways through the strategic implementation of the test automation domain. What’s required though is a skilled team, competent management, effective processes and a cohesive approach towards test automation. In this article, you will know about the top automation testing trends to look for in 2022.
Following are the top six automation testing trends to look for in 2022:
1. High-end issues will be solved by advanced tools:
Through the test automation platform, real problems will be solved amicably, like changing XPaths in Selenium tests. Element definitions to changing code can be partially adapted through multi-attribute selectors. The ID-based test automation systems are limited and hence can be worked upon appropriately.
‘Tooling’ will gain prominence and will be able to easily solve real world questions pertaining to software testing. The advanced tools will increase coverage and reduce flakiness. End-to-end tests can be automated efficiently.
2. The significance of decentralization:
The notion of “access to anywhere from everywhere”, resembles with ‘decentralization.’ Teams will be able to work from different locations as more centralized testing platforms will come into fruition, while ensuring that the test infrastructure has full access. The focus will be on managed resources, central reporting portals, central repositories etc. “Offline models” can be used in line with the testing platform.
The application models can be resembled in any way (without real business logic) that can in turn be used to automate and write test cases from everywhere.
3. The emergence of visual test:
Visual test will emerge as a popular and in-demand type of testing. Compared to ID/X-Path based testing, virtual test is far more versatile and can be easily copied with underlying technology changes. Visual test is considered to be popular and in demand and also will open avenues for interactive visual test, such as using images and text only for conducting functional test. Through this, a lot of problems can be fixed.
4. The inclusion of AI-powered testing:
AI-powered test automation will dominate the test automation domain in the near future. Teams will be allowed to leverage machine learning capabilities and Artificial Intelligence (AI) so that the testing process can be automated and provides a way for efficient test asset management. Automated test planning will be driven by analytics-based algorithms with in-built traceability, which in turn makes sure that there is good coverage as well as upkeep and low maintenance.
Alert management and automated change impact analysis will help in quickly responding to issues and bugs while allowing teams to suggest, detect and learn reusable components and different coding styles. Every line of the code can be easily scanned by the AI platform and thus open new avenues for quicker action on code vulnerabilities, better adherence to coding standards and refactoring.
5. Codeless testing will evolve:
Automation testing will witness the evolution of codeless testing. According to research, the market for codeless tests will grow exponentially post 2021. It is estimated to reach at an overall valuation of $1.5 billion and steadily grow at a CAGR of 15.5% between the years 2021 and 2031. Automated tests can be created by testers without writing even a single line of code, which will in turn help teams to empower and thus leverage advanced test scripts, regardless of how skilled they are.
The application may be dynamic or complex, but, there will be no level of coding required by implementing the codeless testing platform, thus relieving testers from the time-intensive and complex process of writing complex test suites. The test creation process will be expedited by the codeless testing platform while maximizing testing efficiency, stability and reliability across the software development life cycle process. This will help developers and testers to focus their time on product innovation.
6. The advancement of CI/CD pipelines:
CI/CD pipelines will boost the process of automation testing and thus accelerate its activities to an all-new level. In current scenarios, where testers have to strive hard to meet the testing process requirements, AI technology will be used by CI/CD pipelines to deliver the computing power and hardware resources needed to drive productive testing outcomes.
Testers can use these pipelines to ensure that iterative code changes happen by continuously building, testing and deploying. The chances of deploying new code will be reduced based on failed previous versions and bugs. Human intervention is also minimized while helping teams scale and simplify the automation testing process.
If you are looking forward to implementing test automation for your specific project, then do get connected with a leading software testing services company that will provide you with an in-depth testing methodology that is precisely in line with your project specific requirements.