Abstract: Generative Artificial Intelligence (GenAI) is rapidly transforming software engineering practices, from code generation to automated testing. This white paper examines the implications of GenAI on software quality, exploring its opportunities and risks. The analysis spans quality attributes such as reliability, maintainability, security, and performance, highlighting both the potential benefits and the inherent challenges. Future research and governance strategies are discussed to ensure sustainable adoption of GenAI in software
engineering.
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