Artificial Intelligence (AI) is poised to redefine the landscape of software testing, as GenAI-based tools are projected to autonomously write up to 70% of software tests by 2028. This significant leap forward is anticipated to revolutionize the testing paradigm, minimizing the reliance on manual testing and delivering enhancements in test coverage, software usability, and code quality.
According to a recent report by IDC, 48% of enterprises in the Asia-Pacific region, excluding Japan (APEJ), identify code review and testing as crucial tasks where AI can significantly streamline developer workflows. The report highlights key areas where AI and Machine Learning (ML) will play a pivotal role in testing, including prioritizing tests, identifying the root causes of failed tests, creating test cases, and implementing self-healing and testing procedures.
GenAI for Test Automation: A Game-Changer
GenAI for test automation involves leveraging AI algorithms to generate and manage test scripts, ushering in more efficient and adaptable testing procedures. The Asia-Pacific market is witnessing substantial growth in generative AI-assisted software development, encompassing code generation, user interface enhancements, testing, and various other applications. Notable investments in this domain are observed in China, India, and Japan, with a focus on elevating software testing capabilities.
Dhiraj Badgujar, Senior Research Manager for Digital Innovations, xOps, and Developer Strategies at IDC Asia/Pacific, commented, “The Asia-Pacific market for generative AI-assisted software development is rapidly growing.”
AI’s Impact on Software Development
The report also emphasizes that AI will drive increased levels of automation across the software development lifecycle. Developers and DevOps experts are expected to lead this transformative shift, with Gen AI redefining the refactoring of legacy applications. By leveraging GenAI tools and cloud service provider platforms, enterprises aim to initiate and execute 50% of code conversion and development tasks by 2027.
The IDC envisions that over 50% of consumers will use AI through mobile devices for discovering, evaluating, and purchasing the majority of products and services by 2026. Furthermore, by 2028, natural language is projected to become the most widely used programming language, constituting 30% of net new applications created by developers.
