A new report says that GenAI-based tools will be able to write 70 percent of software tests by 2028, reducing the need for manual testing, resulting in improvements in test coverage, software usability, and code quality.
According to IDC, 48 percent of enterprises in the Asia-Pacific excluding Japan (APEJ) region consider code review and testing as one of the critical tasks that AI can most effectively help developers streamline.
The top areas of emphasis for using AI/ML with testing include prioritizing tests, discovering the underlying cause of failed tests, creating test cases, and self-healing and testing processes,” the report noted. Has gone.
GenAI for test automation involves using AI algorithms to generate and manage test scripts, allowing for more efficient and adaptable testing processes.
“The Asia-Pacific market for generic AI-assisted software development, including code generation, user interface, testing and other use cases, is growing rapidly. China, India and Japan are making significant investments in this to enhance software testing capabilities,” said Dheeraj Badgujar, senior research manager of digital innovation, XOPS and developer strategies at IDC Asia/Pacific.
The report states that AI will lead to higher levels of automation in software development, with developers and DevOps specialists at the forefront of this new paradigm.
According to IDC, “Gen AI will drive the refactoring of legacy apps, with enterprises using GenAI tools and cloud service provider platforms to initiate and execute 50 percent of code transformation and development tasks by 2027.”
More than 50 percent of consumers will use AI via mobile devices to discover, evaluate, and purchase most of the products and services they want by 2026.
“By 2028, natural language will become the most widely used programming language, with developers using it to create 30 percent of net new applications,” the report said.
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