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One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair
ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 1554–1566https://doi.org/10.1145/3650212.3680381Automated program repair aims to automate bug correction and alleviate the burden of manual debugging, which plays a crucial role in software development and maintenance. Recent studies reveal that learning-based approaches have outperformed conventional ...
CCT5: A Code-Change-Oriented Pre-trained Model
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software EngineeringPages 1509–1521https://doi.org/10.1145/3611643.3616339Software is constantly changing, requiring developers to perform several derived tasks in a timely manner, such as writing a description for the intention of the code change, or identifying the defect-prone code changes. Considering that the cost of ...
- research-articleApril 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
WWW '23: Proceedings of the ACM Web Conference 2023Pages 737–746https://doi.org/10.1145/3543507.3583379Graph self-supervised learning (SSL), including contrastive and generative approaches, offers great potential to address the fundamental challenge of label scarcity in real-world graph data. Among both sets of graph SSL techniques, the masked graph ...