Fetching the paper…
Reading the bibliography…
Bug reports often lack sufficient detail for developers to reproduce and fix the underlying defects.
Who Should Fix This Bug?. In ICSE
John Anvik, Lyndon Hiew, and Gail C Murphy. 2006 · 2006
Earlier work this paper cites.
Fighting Bugs: Remove, Retry, Replicate, and Rejuvenate
Michael Grottke and Kishor S Trivedi. 2007 · 2007
Earlier work this paper cites.
Duplicate Bug Reports Considered Harmful… Really?. In ICSM
Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, and Sunghun Kim. 2008 · 2008
Earlier work this paper cites.
Debugging Reinvented: Asking and Answering Why and Why Not Questions about Program Behavior. In ICSE
Amy J Ko and Brad A Myers. 2008 · 2008
Earlier work this paper cites.
Cross-Project Defect Prediction: A Large Scale Experiment on Data vs. Domain vs. Process. In ESEC/FSE
Thomas Zimmermann, Nachiappan Nagappan, Harald Gall, Emanuel Giger, and Brendan Murphy. 2009 · 2009
Earlier work this paper cites.
A Systematic Study of Automated Program Repair: Fixing 55 out of 105 Bugs for $8 Each. In ICSE
Claire Le Goues, Michael Dewey-Vogt, Stephanie Forrest, and Westley Weimer. 2012 · 2012
Earlier work this paper cites.
Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs. In ISSTA
René Just, Darioush Jalali, and Michael D. Ernst. 2014 · 2014
Earlier work this paper cites.
JCHARMING: A Bug Reproduction Approach Using Crash Traces and Directed Model Checking. In SANER
Mathieu Nayrolles, Abdelwahab Hamou-Lhadj, Sofiène Tahar, and Alf Larsson. 2015 · 2015
Earlier work this paper cites.
A Survey on Software Fault Localization
W Eric Wong, Ruizhi Gao, Yihao Li, Rui Abreu, and Franz Wotawa. 2016 · 2016
Earlier work this paper cites.
Elixir: Effective Object-Oriented Program Repair. In ASE
Ripon K Saha, Yingjun Lyu, Hiroaki Yoshida, and Mukul R Prasad. 2017 · 2017
Earlier work this paper cites.
Precise Condition Synthesis for Program Repair. In ICSE
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, and Lu Zhang. 2017 · 2017
Earlier work this paper cites.
On the Dichotomy of Debugging Behavior Among Programmers. In ICSE
Moritz Beller, Niels Spruit, Diomidis Spinellis, and Andy Zaidman. 2018 · 2018
Earlier work this paper cites.
Comparing Developer-Provided to User-Provided Tests for Fault Localization and Automated Program Repair. In ISSTA
René Just, Chris Parnin, Ian Drosos, and Michael D Ernst. 2018 · 2018
Earlier work this paper cites.
Single-Objective Versus Multi-Objectivized Optimization for Evolutionary Crash Reproduction. In SSBSE
Mozhan Soltani, Pouria Derakhshanfar, Annibale Panichella, Xavier Devroey, Andy Zaidman, and Arie van Deursen. 2018 · 2018
Earlier work this paper cites.
Assessing the Quality of the Steps to Reproduce in Bug Reports. In ESEC/FSE
Oscar Chaparro, Carlos Bernal-Cárdenas, Jing Lu, Kevin Moran, Andrian Marcus, Massimiliano Di Penta, Denys Poshyvanyk, and Vincent Ng. 2019 · 2019
Earlier work this paper cites.
iFixR: Bug Report driven Program Repair. In ESEC/FSE
Anil Koyuncu, Kui Liu, Tegawendé F Bissyandé, Dongsun Kim, Martin Monperrus, Jacques Klein, and Yves Le Traon. 2019 · 2019
Cited alongside, same era.
Deepfl: Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization. In ISSTA
Xia Li, Wei Li, Yuqun Zhang, and Lingming Zhang. 2019 · 2019
Cited alongside, same era.
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
Cited alongside, same era.
Automated Repair of Programs From Large Language Models. In ICSE
Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan. 2023 · 2023
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, and Xin Peng. 2023 · 2023
Later among the works it cites.
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. In NeurIPS
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Later among the works it cites.
TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?
Toufique Ahmed, Martin Hirzel, Rangeet Pan, Avraham Shinnar, and Saurabh Sinha. 2024 · 2024
Later among the works it cites.
CodeR: Issue Resolving with Multi-Agent and Task Graphs
Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, et al · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Impact of Code Language Models on Automated Program Repair. In ICSE
Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan. 2023 · 2023
Cited alongside, same era.
Swe-bench: Can Language Models Resolve Real-World GitHub Issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan. 2023 · 2023
Cited alongside, same era.
A Preliminary Evaluation of LLM-Based Fault Localization
Sungmin Kang, Gabin An, and Shin Yoo. 2023a · 2023
Cited alongside, same era.
CODAMOSA: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. In ICSE
Caroline Lemieux, Jeevana Priya Inala, Shuvendu K Lahiri, and Siddhartha Sen. 2023 · 2023
Cited alongside, same era.
Nuances are the key: Unlocking chatgpt to find failure-inducing tests with differential prompting. In ASE
Tsz-On Li, Wenxi Zong, Yibo Wang, Haoye Tian, Ying Wang, Shing-Chi Cheung, and Jeff Kramer. 2023 · 2023
Cited alongside, same era.
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip. 2023 · 2023
Cited alongside, same era.
Exploring the Effectiveness of Large Language Models in Generating Unit Tests
Mohammed Latif Siddiq, Joanna Santos, Ridwanul Hasan Tanvir, Noshin Ulfat, FA Rifat, and V Carvalho Lopes. 2023 · 2023
Cited alongside, same era.
Alexander Frömmgen, Jacob Austin, Peter Choy, Nimesh Ghelani, Lera Kharatyan, Gabriela Surita, Elena Khrapko, Pascal Lamblin, Pierre-Antoine Manzagol, Marcus Revaj, et al · 2024
Later among the works it cites.
Large Language Models for Software Engineering: A Systematic Literature Review
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang. 2024 · 2024
Later among the works it cites.
Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction
Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, and Shin Yoo. 2024 · 2024
Later among the works it cites.
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents. In NeurIPS
Niels Mündler, Mark Niklas Mueller, Jingxuan He, and Martin Vechev. 2024 · 2024
Later among the works it cites.
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
Later among the works it cites.
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang, Carlos E Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press. 2024a · 2024
Later among the works it cites.
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
John Yang, Carlos E Jimenez, Alex L Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R Narasimhan, et al · 2024
Later among the works it cites.
Autocoderover: Autonomous Program Improvement. In ISSTA
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury. 2024 · 2024
Later among the works it cites.
AddressSanitizer
Google. 2025 · 2025
Closest in time.
Evaluating Agent-based Program Repair at Google. In ICSE: SEIP
Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, and Satish Chandra. 2025 · 2025
Closest in time.