Abstract is missing.
- Towards the Self-Healing of Infrastructure as Code Projects Using Constrained LLM TechnologiesJosu Díaz-de-Arcaya, Juan López-de-Armentia, Gorka Zárate, Ana I. Torre-Bastida. 1-4 [doi]
- ASAP-Repair: API-Specific Automated Program Repair Based on API Usage GraphsSebastian Nielebock 0001, Paul Blockhaus, Jacob Krüger, Frank Ortmeier. 1-4 [doi]
- Towards Developing Effective Fault Localization Techniques for Termination Bugs in Loop ProgramsOmar I. Al-Bataineh, Leon Moonen. 5-8 [doi]
- BUGFIX: Towards a Common Language and Framework for the Automatic Program Repair CommunityBertrand Meyer 0001, Viktoryia Kananchuk, Li Huang 0003. 9-13 [doi]
- C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming AssignmentsPedro Orvalho, Mikolás Janota, Vasco Manquinho. 14-21 [doi]
- BOSS: A Dataset to Train ML-Based Systems to Repair Programs with Out-of-Bounds Write FlawsAnurag Swarnim Yadav, Joseph N. Wilson. 26-33 [doi]
- Automated Program Repair with the GPT Family, Including GPT-2, GPT-3 and CodeXMárk Lajkó, Viktor Csuvik, Tibor Gyimóthy, László Vidács. 34-41 [doi]
- Large Language Models in Automated Repair of Haskell Type ErrorsSofia Santos, João Saraiva, Francisco Ribeiro. 42-45 [doi]
- Program Repair Competition 2024Ridwan Shariffdeen, Yannic Noller, Martin Mirchev, Haifeng Ruan, Xiang Gao 0012, Andreea Costea, Gregory J. Duck, Abhik Roychoudhury. 46-49 [doi]
- ARJA-e for the First International Competition on Automated Program RepairYuan Yuan. 50-52 [doi]
- Automated Program Repair for Introductory Programming Assignments via Bidirectional RefactoringLinna Xie, Chongmin Li, Yu Pei 0001, Tian Zhang 0001, Minxue Pan. 53-55 [doi]
- F1X at APR-COMP 2024Sergey Mechtaev, Shin Hwei Tan. 56-57 [doi]
- RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated ProgramsNan Jiang, Yi Wu. 58-60 [doi]
- The ET Program Repair Tool for JavaYuan-an Xiao, Qihao Zhu, Yingfei Xiong 0001. 61-63 [doi]