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What is Explainable AI in Software Engineering about?

This thesis explores the application of Explainable AI (XAI) in software engineering, conducting a systematic review of 24 relevant studies and an empirical study on Transformer-based models. The findings indicate that XAI is predominantly used in software maintenance tasks, particularly defect prediction, and highlights the need for standard evaluation metrics in the field. The empirical study further examines the attention mechanisms of CodeBERT and GraphCodeBERT, revealing patterns that affect model perf

Author

anguloguisellac

Language

EN