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Early findings from an ongoing industry-based study investigating how explainability requirements are elicited, specified, and validated using established RE techniques indicate that current RE practices provide limited support to systematically address explainability requirements.
Background: Large language models (LLMs) are increasingly used to automate code review, but the reasoning behind their decisions remains hard to understand. Developers struggle to assess the validity of LLM-generated reviews, making it difficult to gauge how much trust to place in them. The role of Explainable AI (XAI)...
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