A systematic mapping study of 46 papers shows that automatic issue report classification uses traditional ML, deep learning, and LLMs but lacks practitioner involvement, industrial evaluations, and consideration of factors beyond accuracy.
In: Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, pp
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Automatic techniques for issue report classification: A systematic mapping study
A systematic mapping study of 46 papers shows that automatic issue report classification uses traditional ML, deep learning, and LLMs but lacks practitioner involvement, industrial evaluations, and consideration of factors beyond accuracy.