With each passing year, software testing is getting increasingly important in the software development lifecycle. Reports suggest that the software testing services market is poised to grow by $34.49 billion during 2021-2025, progressing at a CAGR of over 12% during the forecast period.
Today, testing is not just about finding bugs or issues in a product; it is about being proactive about what can go wrong and taking steps to ensure the product functions as intended. Test automation practices are quickly picking up steam, as they provide testers with a quick and efficient way of ensuring the product meets the required quality, security, and compliance requirements.
Future of Testing – Key Test Automation Trends
Given the pace at which new trends unfold, it is crucial to keep up with the future of testing. So as fall colors start to gleam and as the current year quickly comes to a close, here’s looking at the following five current trends in software testing:
AI-powered test automation:
If there is one trend that will dominate the test automation realm in the coming year, it has to be AI-powered test automation. AI and associated machine learning capabilities will allow entire teams to automate the testing process while paving the way for efficient test asset management. Analytic-based algorithms with in-built traceability will drive automated test planning, ensuring high coverage as well as low maintenance and upkeep. Automated change impact analysis and alert management can help quickly respond to bugs and issues while allowing teams to detect, learn and suggest different coding styles and reusable components. In addition, AI can help scan every line of code and open opportunities for refactoring, better adherence to coding standards, and quicker action on code vulnerabilities.
Another trend that will shape the future of testing in 2022 is the adoption of self-healing test automation tools. Tools with self-healing capabilities will help testing teams proactively find and fix problems – even before they occur. Since these machine learning-based tools learn from experience, the more tests run, the smarter the tools become at creating stable tests and maintaining them. These tools will also scan through millions of bits of data flowing through the DevOps pipeline and refine them into important takeaways, helping stakeholders make informed decisions – thus making testing pipelines faster, leaner, and smarter.
Codeless testing will also be one of the latest upcoming technologies in the automated testing space in the coming year. Reports expect the codeless testing market to register exponential growth in 2021 and beyond, with the overall valuation estimated to reach $1.5 billion and grow at a CAGR of 15.5% between 2021 and 2031. Allowing testers to create automated tests without writing a single line of code will empower teams to leverage advanced tests scripts regardless of skill level. No matter how complex or dynamic the application is, codeless testing requires no level of coding – relieving testers from the complex and time-intensive process of writing complex test suites. In 2022, codeless testing will help expedite the test creation process while maximizing testing reliability, stability, and efficiency across the SDLC, allowing testers and developers time to focus on product innovation.
with third-party tools will also be an integral part of the scope of automation testing in 2022. Cutting-edge integrations that fit into existing testing ecosystems mean that testers can always have a unified and updated view of the quality lifecycle. As testers continue to work via a hybrid work model, such integrations will enable access to the tools they need from anywhere and at any time. They will also allow teams to seamlessly work from different locations while still having full access to all the necessary test infrastructure, including centralized repositories and reporting portals, access-anywhere tools, managed resources, and more.
Advanced CI/CD pipelines
Another trend that will shape the future of automation testing in 2022 is the reliance on advanced CI/CD pipelines. In contrast to current mechanisms, which require testers to do a lot of heavy lifting in the testing process, advanced pipelines will use AI technology to deliver the hardware resources and computing power needed to drive optimum testing outcomes. These pipelines will enable testers to continuously build, test, and deploy iterative code change – reducing the chances of deploying new code based on bug-laden or failed previous versions. They will also minimize human intervention while helping teams simplify and scale the test automation process.
With technology evolving at a rapid rate, keeping up with current trends in software testing is critical to the success of products. Of the many innovations in the automation testing space, AI-powered test automation, self-healing tools, codeless testing, cutting-edge integrations, and advanced CI/CD pipelines are 5 of the top trends shaping the scope and future of testing in 2022. A deep understanding of these trends is necessary to plan how and where you can implement them in your business and reap their benefits for your enterprise’s long-term growth and success.