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Large Language Models (LLMs) show great promise in software engineering tasks like Fault Localization (FL) and Automatic Program Repair (APR).
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Murray Woodside, Greg Franks, and Dorina C Petriu. 2007 · 2007
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Spectrum-based multiple fault localization. In 2009 IEEE/ACM International Conference on Automated Software Engineering . IEEE, 88–99
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Beyond lines of code: Do we need more complexity metrics
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A survey on software fault localization
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Fluccs: Using code and change metrics to improve fault localization. In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis . 273–283
Jeongju Sohn and Shin Yoo. 2017 · 2017
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Boosting spectrum-based fault localization using pagerank. In Proceedings of the 26th ACM SIGSOFT international symposium on software testing and analysis . 261–272
Mengshi Zhang, Xia Li, Lingming Zhang, and Sarfraz Khurshid. 2017 · 2017
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Kendall tau sequence distance: Extending Kendall tau from ranks to sequences
Vincent A Cicirello. 2019 · 2019
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Deepfl: Integrating multiple fault diagnosis dimensions for deep fault localization. In Proceedings of the 28th ACM SIGSOFT international symposium on software testing and analysis . 169–180
Xia Li, Wei Li, Yuqun Zhang, and Lingming Zhang. 2019 · 2019
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Sbfl-suitability: A software characteristic for fault localization. In 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME) . IEEE, 702–706
Yui Sasaki, Yoshiki Higo, Shinsuke Matsumoto, and Shinji Kusumoto. 2020 · 2020
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Bugsinpy: a database of existing bugs in python programs to enable controlled testing and debugging studies. In Proceedings of the 28th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering . 1556–1560
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Automatic program repair
Claire Le Goues, Michael Pradel, Abhik Roychoudhury, and Satish Chandra. 2021 · 2021
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Boosting coverage-based fault localization via graph-based representation learning. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 664–676
Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, and Lingming Zhang. 2021 · 2021
Cited alongside, same era.
Call frequency-based fault localization. In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) . IEEE, 365–376
Béla Vancsics, Ferenc Horváth, Attila Szatmári, and Arpád Beszédes. 2021 · 2021
Cited alongside, same era.
How Useful is Code Change Information for Fault Localization in Continuous Integration?. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering . 1–12
An Ran Chen, Tse-Hsun Chen, and Junjie Chen. 2022 · 2022
Cited alongside, same era.
java-callgraph: A simple callgraph generator tool for Java
Georgios Gousios. 2023 · 2023
Cited alongside, same era.
When llm-based code generation meets the software development process
Feng Lin, Dong Jae Kim, et al · 2024
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GPT-4O Mini: Advancing Cost-Efficient Intelligence
OpenAI. 2024 · 2024
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AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, and Xiaoguang Mao. 2024 · 2024
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Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun (Peter) Chen, and Shaowei Wang. 2024 · 2024
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Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain, Paulo Canelas, Catarina Gamboa, and Claire Le Goues. 2024 · 2024
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Xiao Pu, Mingqi Gao, and Xiaojun Wan. 2023 · 2023
Cited alongside, same era.
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, and Bryan Hooi. 2023 · 2023
Cited alongside, same era.
Large language models in fault localisation
Yonghao Wu, Zheng Li, Jie M Zhang, Mike Papadakis, Mark Harman, and Yong Liu. 2023 · 2023
Cited alongside, same era.
A survey on large language models for software engineering
Quanjun Zhang, Chunrong Fang, Yang Xie, Yaxin Zhang, Yun Yang, Weisong Sun, Shengcheng Yu, and Zhenyu Chen. 2023 · 2023
Cited alongside, same era.
Recurrentgpt: Interactive generation of (arbitrarily) long text
Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, and Mrinmaya Sachan. 2023 · 2023
Cited alongside, same era.
LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities. In Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering . 201–210
Samuel Abedu, Ahmad Abdellatif, and Emad Shihab. 2024 · 2024
Cited alongside, same era.
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , Yvette Graham and Matthew Purver (Eds.). 67–93
Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, and Ondrej Dusek. 2024 · 2024
Cited alongside, same era.
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen, Ryan A Chi, Xuezhi Wang, and Denny Zhou. 2024 · 2024
Cited alongside, same era.
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FauxPy: A Fault Localization Tool for Python
Mohammad Rezaalipour and Carlo A Furia. 2024 · 2024
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Exploring llm-based agents for root cause analysis. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering . 208–219
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, and Saravan Rajmohan. 2024 · 2024
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Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design
Jules White, Sam Hays, Quchen Fu, Jesse Spencer-Smith, and Douglas C Schmidt. 2024 · 2024
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Agentless: Demystifying llm-based software engineering agents
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang. 2024 · 2024
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Benchmark data contamination of large language models: A survey
Cheng Xu, Shuhao Guan, Derek Greene, M Kechadi, et al · 2024
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Large Language Models for Test-Free Fault Localization. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24) . Association for Computing Machinery, New York, NY, USA, Article 17, 12 pages
Aidan Z. H. Yang, Claire Le Goues, Ruben Martins, and Vincent Hellendoorn. 2024 · 2024
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AutoCodeRover: Autonomous Program Improvement. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024) . Association for Computing Machinery, New York, NY, USA, 1592–1604
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury. 2024 · 2024
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DeepSeek Chat
DeepSeek. 2025 · 2025
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Public Data
Md Nakhla Rafi. 2025 · 2025
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Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, and David Lo. 2025 · 2025
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