Now, and in the future, AI will keep playing an increasingly critical role in software quality assurance (QA). It will continue to automate testing processes, generate smarter test cases, and predict defects before they occur. AI will enhance code reviews, provide real-time monitoring and anomaly detection, and improve non-functional testing, including security and performance. Additionally, AI will be integrated into requirement analysis and data validation, optimizing the overall development process. Collaborative efforts between AI systems and human QA experts will remain essential for ensuring software quality. The adoption of these AI-driven QA advancements will depend on technological progress, industry demands, and regulatory considerations.
We have skilled experts working in assignments and delivering services based on AI technology within Generative AI, Predictive AI and Measuring code quality and health no matter if it is AI generated code or not.
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“The power of AI comes with a great responsibility for quality. We need to rigorously test AI systems to ensure they not only work but work safely and reliably.”
– QA Engineer at an AI Research Lab