Just-in-Time Software Defect Prediction Via Bi-Modal Change Representation Learning

Author:

Jiang Yuze,Shen Beijun,Gu Xiaodong

Publisher

Elsevier BV

Reference44 articles.

1. Predicting risk of software changes;A Mockus;Bell Labs Technical Journal,2000

2. A systematic survey of just-in-time software defect prediction;Y Zhao;ACM Computing Surveys,2023

3. Exploring and exploiting the correlations between bug-inducing and bug-fixing commits;M Wen;Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2019,2019

4. The best of both worlds: integrating semantic features with expert features for defect prediction and localization;C Ni;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022,2022

5. Cc2vec: distributed representations of code changes;T Hoang;ICSE '20: 42nd International Conference on Software Engineering,2020

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