Using Artificial Intelligence In Software Testing
InfoQ, Thursday, April 10th, 2025
Quality Assurance Engineers can evolve into artificial intelligence (AI) strategists, guiding AI-driven test execution while focusing on strategic decisions. According to Victor Ionascu, rather than replacing testing roles, AI can enhance them by predicting defects, automating test maintenance, and refining risk-based testing.
This human-AI collaboration is crucial for maintaining quality in increasingly complex software systems.
Victor Ionascu gave a talk about the role of artificial intelligence in quality assurance and software testing at QA Challenge Accepted.
QA professionals are increasingly turning to AI to address the growing complexities of software testing, Ionascu said. AI-driven automation can improve test coverage, reduce test cycle times, and enhance the accuracy of results, leading to faster software releases with higher quality, as he explained in the InfoQ article Exploring AI's Role in Automating Software Testing.