VIDA: Visual interactive debugging. - Dan Hao 001; Lingming Zhang 001; Lu Zhang 023; Jiasu Sun; Hong Mei 001 (ICSE, 2009)

Prioritizing JUnit test cases in absence of coverage information. - Lingming Zhang 001; Ji Zhou; Dan Hao 001; Lu Zhang 023; Hong Mei 001 (ICSM, 2009)

Jtop: Managing JUnit Test Cases in Absence of Coverage Information. - Lingming Zhang 001; Ji Zhou; Dan Hao 001; Lu Zhang 023; Hong Mei 001 (ASE, 2009)

Test generation via Dynamic Symbolic Execution for mutation testing. - Lingming Zhang 001; Tao Xie 001; Lu Zhang 023; Nikolai Tillmann; Jonathan de Halleux; Hong Mei 001 (ICSM, 2010)

Localizing failure-inducing program edits based on spectrum information. - Lingming Zhang 001; Miryung Kim; Sarfraz Khurshid (ICSM, 2011)

An Empirical Study of JUnit Test-Suite Reduction. - Lingming Zhang 001; Darko Marinov; Lu Zhang 023; Sarfraz Khurshid (ISSRE, 2011)

TestEra: A tool for testing Java programs using alloy specifications. - Shadi Abdul Khalek; Guowei Yang 001; Lingming Zhang 001; Darko Marinov; Sarfraz Khurshid (ASE, 2011)

Regression mutation testing. - Lingming Zhang 001; Darko Marinov; Lu Zhang 023; Sarfraz Khurshid (ISSTA, 2012)

FaultTracer: a change impact and regression fault analysis tool for evolving Java programs. - Lingming Zhang 001; Miryung Kim; Sarfraz Khurshid (SIGSOFT FSE, 2012)

A Static Approach to Prioritizing JUnit Test Cases. - Hong Mei 001; Dan Hao 001; Lingming Zhang 001; Lu Zhang 023; Ji Zhou; Gregg Rothermel (IEEE Trans. Software Eng., 2012)

Bridging the gap between the total and additional test-case prioritization strategies. - Lingming Zhang 001; Dan Hao 001; Lu Zhang 023; Gregg Rothermel; Hong Mei 001 (ICSE, 2013)

Selective mutation testing for concurrent code. - Milos Gligoric 001; Lingming Zhang 001; Cristiano Pereira; Gilles Pokam (ISSTA, 2013)

Faster mutation testing inspired by test prioritization and reduction. - Lingming Zhang 001; Darko Marinov; Sarfraz Khurshid (ISSTA, 2013)

Operator-based and random mutant selection: Better together. - Lingming Zhang 001; Milos Gligoric 001; Darko Marinov; Sarfraz Khurshid (ASE, 2013)

Injecting mechanical faults to localize developer faults for evolving software. - Lingming Zhang 001; Lu Zhang 023; Sarfraz Khurshid (OOPSLA, 2013)

FaultTracer: a spectrum-based approach to localizing failure-inducing program edits. - Lingming Zhang 001; Miryung Kim; Sarfraz Khurshid (J. Softw. Evol. Process., 2013)

Feedback-driven dynamic invariant discovery. - Lingming Zhang 001; Guowei Yang 001; Neha Rungta; Suzette Person; Sarfraz Khurshid (ISSTA, 2014)

A Unified Test Case Prioritization Approach. - Dan Hao 001; Lingming Zhang 001; Lu Zhang 023; Gregg Rothermel; Hong Mei 001 (ACM Trans. Softw. Eng. Methodol., 2014)

An Information Retrieval Approach for Regression Test Prioritization Based on Program Changes. - Ripon K. Saha; Lingming Zhang 001; Sarfraz Khurshid; Dewayne E. Perry (ICSE (1), 2015)

Studying the influence of standard compiler optimizations on symbolic execution. - Shiyu Dong; Oswaldo Olivo; Lingming Zhang 001; Sarfraz Khurshid (ISSRE, 2015)

Experience report: How do techniques, programs, and tests impact automated program repair? - Xianglong Kong; Lingming Zhang 001; W. Eric Wong; Bixin Li (ISSRE, 2015)

Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE. - Xiaoyin Wang; Lingming Zhang 001; Philip Tanofsky (ISSTA, 2015)

Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks. - Hao Tang; Xiaoyin Wang; Lingming Zhang 001; Bing Xie; Lu Zhang 023; Hong Mei 001 (POPL, 2015)

How does regression test prioritization perform in real-world software evolution? - Yafeng Lu; Yiling Lou; Shiyang Cheng 002; Lingming Zhang 001; Dan Hao 001; Yangfan Zhou; Lu Zhang 023 (ICSE, 2016)

Predictive mutation testing. - Jie Zhang 050; Ziyi Wang; Lingming Zhang 001; Dan Hao 001; Lei Zang; Shiyang Cheng 002; Lu Zhang 023 (ISSTA, 2016)

Supporting oracle construction via static analysis. - Junjie Chen 003; Yanwei Bai; Dan Hao 001; Lingming Zhang 001; Lu Zhang 023; Bing Xie; Hong Mei 001 (ASE, 2016)

The comKorat Tool: Unified Combinatorial and Constraint-Based Generation of Structurally Complex Tests. - Hua Zhong; Lingming Zhang 001; Sarfraz Khurshid (NFM, 2016)

An extensive study of static regression test selection in modern software evolution. - Owolabi Legunsen; Farah Hariri; August Shi; Yafeng Lu; Lingming Zhang 001; Darko Marinov (SIGSOFT FSE, 2016)

Isomorphic regression testing: executing uncovered branches without test augmentation. - Jie Zhang 050; Yiling Lou; Lingming Zhang 001; Dan Hao 001; Lu Zhang 023; Hong Mei 001 (SIGSOFT FSE, 2016)

Combinatorial generation of structurally complex test inputs for commercial software applications. - Hua Zhong; Lingming Zhang 001; Sarfraz Khurshid (SIGSOFT FSE, 2016)

An energy-efficient offloading framework with predictable temporal correctness. - Zheng Dong 002; Yuchuan Liu; Husheng Zhou; Xusheng Xiao; Yu Gu 001; Lingming Zhang 001; Cong Liu 005 (SEC, 2017)

Conditional Dyck-CFL Reachability Analysis for Complete and Efficient Library Summarization. - Hao Tang; Di Wang 017; Yingfei Xiong 001; Lingming Zhang 001; Xiaoyin Wang; Lu Zhang 023 (ESOP, 2017)

How Do Assertions Impact Coverage-Based Test-Suite Reduction? - Junjie Chen 003; Yanwei Bai; Dan Hao 001; Lingming Zhang 001; Lu Zhang 023; Bing Xie (ICST, 2017)

Boosting spectrum-based fault localization using PageRank. - Mengshi Zhang; Xia Li 009; Lingming Zhang 001; Sarfraz Khurshid (ISSTA, 2017)

How does execution information help with information-retrieval based bug localization? - Tung Dao; Lingming Zhang 001; Na Meng 001 (ICPC, 2017)

Transforming programs and tests in tandem for fault localization. - Xia Li 009; Lingming Zhang 001 (Proc. ACM Program. Lang., 2017)

Learning to Accelerate Symbolic Execution via Code Transformation. - Junjie Chen 003; Wenxiang Hu; Lingming Zhang 001; Dan Hao 001; Sarfraz Khurshid; Lu Zhang 023 (ECOOP, 2018)

An extensible, regular-expression-based tool for multi-language mutant generation. - Alex Groce; Josie Holmes; Darko Marinov; August Shi; Lingming Zhang 001 (ICSE (Companion Volume), 2018)

Hybrid regression test selection. - Lingming Zhang 001 (ICSE, 2018)

Speeding up Mutation Testing via Regression Test Selection: An Extensive Study. - Lingchao Chen; Lingming Zhang 001 (ICST, 2018)

To Detect Abnormal Program Behaviours via Mutation Deduction. - Jie Zhang 050; Dan Hao 001; Lingming Zhang 001; Lu Zhang 023 (ICST Workshops, 2018)

DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems. - Mengshi Zhang; Yuqun Zhang; Lingming Zhang 001; Cong Liu 005; Sarfraz Khurshid (ASE, 2018)

Optimizing test prioritization via test distribution analysis. - Junjie Chen 003; Yiling Lou; Lingming Zhang 001; Jianyi Zhou; Xiaoleng Wang; Dan Hao 001; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2018)

DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing. - Mengshi Zhang; Yuqun Zhang; Lingming Zhang 001; Cong Liu 005; Sarfraz Khurshid (CoRR, 2018)

Practical Program Repair via Bytecode Mutation. - Ali Ghanbari 001; Lingming Zhang 001 (CoRR, 2018)

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. - Husheng Zhou; Wei Li 159; Yuankun Zhu; Yuqun Zhang; Bei Yu 001; Lingming Zhang 001; Cong Liu 005 (CoRR, 2018)

The impacts of techniques, programs and tests on automated program repair: An empirical study. - Xianglong Kong; Lingming Zhang 001; W. Eric Wong; Bixin Li (J. Syst. Softw., 2018)

Defexts: a curated dataset of reproducible real-world bugs for modern JVM languages. - Samuel Benton; Ali Ghanbari 001; Lingming Zhang 001 (ICSE (Companion Volume), 2019)

An Extensive Study on Cross-Project Predictive Mutation Testing. - Dongyu Mao; Lingchao Chen; Lingming Zhang 001 (ICST, 2019)

Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? - Jie M. Zhang; Lingming Zhang 001; Dan Hao 001; Meng Wang 002; Lu Zhang 023 (ICST, 2019)

An Empirical Comparison of Mutant Selection Assessment Metrics. - Jie M. Zhang; Lingming Zhang 001; Dan Hao 001; Lu Zhang 023; Mark Harman (ICST Workshops, 2019)

TestSage: Regression Test Selection for Large-Scale Web Service Testing. - Hua Zhong; Lingming Zhang 001; Sarfraz Khurshid (ICST, 2019)

Practical program repair via bytecode mutation. - Ali Ghanbari 001; Samuel Benton; Lingming Zhang 001 (ISSTA, 2019)

DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization. - Xia Li 009; Wei Li 159; Yuqun Zhang; Lingming Zhang 001 (ISSTA, 2019)

History-driven build failure fixing: how far are we? - Yiling Lou; Junjie Chen 003; Lingming Zhang 001; Dan Hao 001; Lu Zhang 023 (ISSTA, 2019)

PraPR: Practical Program Repair via Bytecode Mutation. - Ali Ghanbari 001; Lingming Zhang 001 (ASE, 2019)

Inferring Program Transformations From Singular Examples via Big Code. - Jiajun Jiang; Luyao Ren; Yingfei Xiong 001; Lingming Zhang 001 (ASE, 2019)

MuSC: A Tool for Mutation Testing of Ethereum Smart Contract. - Zixin Li; Haoran Wu; Jiehui Xu; Xingya Wang; Lingming Zhang 001; Zhenyu Chen 001 (ASE, 2019)

Automating CUDA Synchronization via Program Transformation. - Mingyuan Wu; Lingming Zhang 001; Cong Liu 005; Shin Hwei Tan; Yuqun Zhang (ASE, 2019)

Compiler bug isolation via effective witness test program generation. - Junjie Chen 003; Jiaqi Han; Peiyi Sun; Lingming Zhang 001; Dan Hao 001; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2019)

Chapter One - A Survey on Regression Test-Case Prioritization. - Yiling Lou; Junjie Chen 003; Lingming Zhang 001; Dan Hao 001 (Adv. Comput., 2019)

Characterizing and Detecting CUDA Program Bugs. - Mingyuan Wu; Husheng Zhou; Lingming Zhang 001; Cong Liu 005; Yuqun Zhang (CoRR, 2019)

Mutation Testing for Ethereum Smart Contract. - Haoran Wu; Xingya Wang; Jiehui Xu; Weiqin Zou; Lingming Zhang 001; Zhenyu Chen 001 (CoRR, 2019)

Can Automated Program Repair Refine Fault Localization? - Yiling Lou; Ali Ghanbari 001; Xia Li 009; Lingming Zhang 001; Dan Hao 001; Lu Zhang 023 (CoRR, 2019)

Reflection-aware static regression test selection. - August Shi; Milica Hadzi-Tanovic; Lingming Zhang 001; Darko Marinov; Owolabi Legunsen (Proc. ACM Program. Lang., 2019)

A General Analysis Framework for Soft Real-Time Tasks. - Zheng Dong 002; Cong Liu 005; Soroush Bateni; Zelun Kong; Liang He 002; Lingming Zhang 001; Ravi Prakash 001; Yuqun Zhang (IEEE Trans. Parallel Distributed Syst., 2019)

Predictive Mutation Testing. - Jie Zhang 050; Lingming Zhang 001; Mark Harman; Dan Hao 001; Yue Jia 001; Lu Zhang 023 (IEEE Trans. Software Eng., 2019)

How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. - Qi Luo; Kevin Moran; Lingming Zhang 001; Denys Poshyvanyk (IEEE Trans. Software Eng., 2019)

Taming behavioral backward incompatibilities via cross-project testing and analysis. - Lingchao Chen; Foyzul Hassan; Xiaoyin Wang; Lingming Zhang 001 (ICSE, 2020)

Simulee: detecting CUDA synchronization bugs via memory-access modeling. - Mingyuan Wu; Yicheng Ouyang; Husheng Zhou; Lingming Zhang 001; Cong Liu 005; Yuqun Zhang (ICSE, 2020)

DeepBillboard: systematic physical-world testing of autonomous driving systems. - Husheng Zhou; Wei Li 159; Zelun Kong; Junfeng Guo; Yuqun Zhang; Bei Yu 001; Lingming Zhang 001; Cong Liu 005 (ICSE, 2020)

Can automated program repair refine fault localization? a unified debugging approach. - Yiling Lou; Ali Ghanbari 001; Xia Li 009; Lingming Zhang 001; Haotian Zhang; Dan Hao 001; Lu Zhang 023 (ISSTA, 2020)

Empirically revisiting and enhancing IR-based test-case prioritization. - Qianyang Peng; August Shi; Lingming Zhang 001 (ISSTA, 2020)

On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems. - Samuel Benton; Xia Li 009; Yiling Lou; Lingming Zhang 001 (ASE, 2020)

Enhanced Compiler Bug Isolation via Memoized Search. - Junjie Chen 003; Haoyang Ma; Lingming Zhang 001 (ASE, 2020)

Fast and Precise On-the-fly Patch Validation for All. - Lingchao Chen; Lingming Zhang 001 (CoRR, 2020)

Practical Accuracy Estimation for Efficient Deep Neural Network Testing. - Junjie Chen 003; Zhuo Wu; Zan Wang; Hanmo You; Lingming Zhang 001; Ming Yan 010 (ACM Trans. Softw. Eng. Methodol., 2020)

Fast and Precise On-the-fly Patch Validation for All. - Lingchao Chen; Yicheng Ouyang; Lingming Zhang 001 (ICSE, 2021)

A Large-scale Study on API Misuses in the Wild. - Xia Li 009; Jiajun Jiang; Samuel Benton; Yingfei Xiong 001; Lingming Zhang 001 (ICST, 2021)

Test-case prioritization for configuration testing. - Runxiang Cheng; Lingming Zhang 001; Darko Marinov; Tianyin Xu (ISSTA, 2021)

Deep just-in-time defect prediction: how far are we? - Zhengran Zeng; Yuqun Zhang; Haotian Zhang; Lingming Zhang 001 (ISSTA, 2021)

Boosting coverage-based fault localization via graph-based representation learning. - Yiling Lou; Qihao Zhu; Jinhao Dong; Xia Li 009; Zeyu Sun 004; Dan Hao 001; Lu Zhang 023; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2021)

Self-Boosted Automated Program Repair. - Samuel Benton; Mengshi Zhang; Xia Li 009; Lingming Zhang 001 (CoRR, 2021)

How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches. - Yiling Lou; Samuel Benton; Dan Hao 001; Lu Zhang 023; Lingming Zhang 001 (CoRR, 2021)

An Empirical Study of Boosting Spectrum-Based Fault Localization via PageRank. - Mengshi Zhang; Yaoxian Li 001; Xia Li 009; Lingchao Chen; Yuqun Zhang; Lingming Zhang 001; Sarfraz Khurshid (IEEE Trans. Software Eng., 2021)

Towards Boosting Patch Execution On-the-Fly. - Samuel Benton; Yuntong Xie; Lan Lu; Mengshi Zhang; Xia Li 009; Lingming Zhang 001 (ICSE, 2022)

Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. - Anjiang Wei; Yinlin Deng; Chenyuan Yang; Lingming Zhang 001 (ICSE, 2022)

One Fuzzing Strategy to Rule Them All. - Mingyuan Wu; Ling Jiang; Jiahong Xiang; Yanwei Huang; Heming Cui; Lingming Zhang 001; Yuqun Zhang (ICSE, 2022)

Evaluating and Improving Neural Program-Smoothing-based Fuzzing. - Mingyuan Wu; Ling Jiang; Jiahong Xiang; Yuqun Zhang; Guowei Yang 001; Huixin Ma; Sen Nie; Shi Wu; Heming Cui; Lingming Zhang 001 (ICSE, 2022)

History-Driven Test Program Synthesis for JVM Testing. - Yingquan Zhao; Zan Wang; Junjie Chen 003; Mengdi Liu; Mingyuan Wu; Yuqun Zhang; Lingming Zhang 001 (ICSE, 2022)

Message from the Program Co-Chairs: ISSRE 2022. - Fabrizio Pastore; Lingming Zhang 001 (ISSRE, 2022)

An extensive study on pre-trained models for program understanding and generation. - Zhengran Zeng; Hanzhuo Tan; Haotian Zhang; Jing Li 049; Yuqun Zhang; Lingming Zhang 001 (ISSTA, 2022)

Learning to Construct Better Mutation Faults. - Zhao Tian; Junjie Chen 003; Qihao Zhu; Junjie Yang; Lingming Zhang 001 (ASE, 2022)

Fuzzing deep-learning libraries via automated relational API inference. - Yinlin Deng; Chenyuan Yang; Anjiang Wei; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Less training, more repairing please: revisiting automated program repair via zero-shot learning. - Chunqiu Steven Xia; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Attention: Not Just Another Dataset for Patch-Correctness Checking. - Yuehan Wang; Jun Yang; Yiling Lou; Ming Wen 001; Lingming Zhang 001 (CoRR, 2022)

Finding Deep-Learning Compilation Bugs with NNSmith. - Jiawei Liu 004; Jinkun Lin; Fabian Ruffy; Cheng Tan 005; Jinyang Li 001; Aurojit Panda; Lingming Zhang 001 (CoRR, 2022)

Practical Program Repair in the Era of Large Pre-trained Language Models. - Chunqiu Steven Xia; Yuxiang Wei 003; Lingming Zhang 001 (CoRR, 2022)

Fuzzing Deep-Learning Libraries via Large Language Models. - Yinlin Deng; Chunqiu Steven Xia; Haoran Peng; Chenyuan Yang; Lingming Zhang 001 (CoRR, 2022)

Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. - Jiawei Liu 004; Yuxiang Wei 003; Sen Yang; Yinlin Deng; Lingming Zhang 001 (Proc. ACM Program. Lang., 2022)

Evaluating and Improving Unified Debugging. - Samuel Benton; Xia Li 009; Yiling Lou; Lingming Zhang 001 (IEEE Trans. Software Eng., 2022)

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. - Jiawei Liu 004; Jinkun Lin; Fabian Ruffy; Cheng Tan 005; Jinyang Li 001; Aurojit Panda; Lingming Zhang 001 (ASPLOS (2), 2023)

Evaluating and Improving Hybrid Fuzzing. - Ling Jiang; Hengchen Yuan; Mingyuan Wu; Lingming Zhang 001; Yuqun Zhang (ICSE, 2023)

MirrorTaint: Practical Non-intrusive Dynamic Taint Tracking for JVM-based Microservice Systems. - Yicheng Ouyang; Kailai Shao; Kunqiu Chen; Ruobing Shen; Chao Chen; Mingze Xu; Yuqun Zhang; Lingming Zhang 001 (ICSE, 2023)

JITfuzz: Coverage-guided Fuzzing for JVM Just-in-Time Compilers. - Mingyuan Wu; Minghai Lu; Heming Cui; Junjie Chen 003; Yuqun Zhang; Lingming Zhang 001 (ICSE, 2023)

Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. - Chunqiu Steven Xia; Saikat Dutta 001; Sasa Misailovic; Darko Marinov; Lingming Zhang 001 (ICSE, 2023)

Automated Program Repair in the Era of Large Pre-trained Language Models. - Chunqiu Steven Xia; Yuxiang Wei 003; Lingming Zhang 001 (ICSE, 2023)

Fuzzing Automatic Differentiation in Deep-Learning Libraries. - Chenyuan Yang; Yinlin Deng; Jiayi Yao; Yuxing Tu; Hanchi Li; Lingming Zhang 001 (ICSE, 2023)

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. - Yinlin Deng; Chunqiu Steven Xia; Haoran Peng; Chenyuan Yang; Lingming Zhang 001 (ISSTA, 2023)

Vectorizing Program Ingredients for Better JVM Testing. - Tianchang Gao; Junjie Chen 003; Yingquan Zhao; Yuqun Zhang; Lingming Zhang 001 (ISSTA, 2023)

The Plastic Surgery Hypothesis in the Era of Large Language Models. - Chunqiu Steven Xia; Yifeng Ding; Lingming Zhang 001 (ASE, 2023)

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. - Jiawei Liu 004; Chunqiu Steven Xia; Yuyao Wang; Lingming Zhang 001 (NeurIPS, 2023)

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair. - Yuxiang Wei 003; Chunqiu Steven Xia; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2023)

NeuRI: Diversifying DNN Generation via Inductive Rule Inference. - Jiawei Liu 004; Jinjun Peng; Yuyao Wang; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2023)

A Large-Scale Empirical Review of Patch Correctness Checking Approaches. - Jun Yang; Yuehan Wang; Yiling Lou; Ming Wen 001; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Conversational Automated Program Repair. - Chunqiu Steven Xia; Lingming Zhang 001 (CoRR, 2023)

Revisiting the Plastic Surgery Hypothesis via Large Language Models. - Chunqiu Steven Xia; Yifeng Ding; Lingming Zhang 001 (CoRR, 2023)

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT. - Chunqiu Steven Xia; Lingming Zhang 001 (CoRR, 2023)

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT. - Yinlin Deng; Chunqiu Steven Xia; Chenyuan Yang; Shizhuo Dylan Zhang; Shujing Yang; Lingming Zhang 001 (CoRR, 2023)

Universal Fuzzing via Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (CoRR, 2023)

White-box Compiler Fuzzing Empowered by Large Language Models. - Chenyuan Yang; Yinlin Deng; Runyu Lu; Jiayi Yao; Jiawei Liu 004; Reyhaneh Jabbarvand; Lingming Zhang 001 (CoRR, 2023)

Magicoder: Source Code Is All You Need. - Yuxiang Wei 003; Zhe Wang; Jiawei Liu 004; Yifeng Ding; Lingming Zhang 001 (CoRR, 2023)

mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. - Yifeng Ding; Jiawei Liu 004; Yuxiang Wei 003; Lingming Zhang 001 (ACL (1), 2024)

Magicoder: Empowering Code Generation with OSS-Instruct. - Yuxiang Wei 003; Zhe Wang; Jiawei Liu 004; Yifeng Ding; Lingming Zhang 001 (ICML, 2024)

Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries. - Yinlin Deng; Chunqiu Steven Xia; Chenyuan Yang; Shizhuo Dylan Zhang; Shujing Yang; Lingming Zhang 001 (ICSE, 2024)

Fuzz4All: Universal Fuzzing with Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (ICSE, 2024)

Benchmarking Automated Program Repair: An Extensive Study on Both Real-World and Artificial Bugs. - Yicheng Ouyang; Jun Yang; Lingming Zhang 001 (ISSTA, 2024)

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT. - Chunqiu Steven Xia; Lingming Zhang 001 (ISSTA, 2024)

SelfCodeAlign: Self-Alignment for Code Generation. - Yuxiang Wei 003; Federico Cassano; Jiawei Liu 004; Yifeng Ding; Naman Jain; Zachary Mueller; Harm de Vries; Leandro von Werra; Arjun Guha; Lingming Zhang 001 (NeurIPS, 2024)

Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? - Yinlin Deng; Chunqiu Steven Xia; Zhezhen Cao; Meiziniu Li; Lingming Zhang 001 (NeurIPS, 2024)

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM. - Chunqiu Steven Xia; Yinlin Deng; Lingming Zhang 001 (CoRR, 2024)

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. - Siyuan Feng; Jiawei Liu 004; Ruihang Lai; Charlie F. Ruan; Yong Yu 001; Lingming Zhang 001; Tianqi Chen 001 (CoRR, 2024)

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. - Yifeng Ding; Jiawei Liu 004; Yuxiang Wei 003; Terry Yue Zhuo; Lingming Zhang 001 (CoRR, 2024)

A Unified Debugging Approach via LLM-Based Multi-Agent Synergy. - Cheryl Lee; Chunqiu Steven Xia; Jen-tse Huang 001; Zhouruixin Zhu; Lingming Zhang 001; Michael R. Lyu (CoRR, 2024)

RepoQA: Evaluating Long Context Code Understanding. - Jiawei Liu 004; Jia Le Tian; Vijay Daita; Yuxiang Wei 003; Yifeng Ding; Yuhan Katherine Wang; Jun Yang; Lingming Zhang 001 (CoRR, 2024)

Agentless: Demystifying LLM-based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (CoRR, 2024)

Evaluating Language Models for Efficient Code Generation. - Jiawei Liu 004; Songrun Xie; Junhao Wang; Yuxiang Wei 003; Yifeng Ding; Lingming Zhang 001 (CoRR, 2024)

Large Language Model-Based Agents for Software Engineering: A Survey. - Junwei Liu; Kaixin Wang; Yixuan Chen 012; Xin Peng 001; Zhenpeng Chen; Lingming Zhang 001; Yiling Lou (CoRR, 2024)

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models. - Chenyuan Yang; Yinlin Deng; Runyu Lu; Jiayi Yao; Jiawei Liu 004; Reyhaneh Jabbarvand; Lingming Zhang 001 (Proc. ACM Program. Lang., 2024)

When Automated Program Repair Meets Regression Testing - An Extensive Study on Two Million Patches. - Yiling Lou; Jun Yang; Samuel Benton; Dan Hao 001; Lin Tan 001; Zhenpeng Chen; Lu Zhang 023; Lingming Zhang 001 (ACM Trans. Softw. Eng. Methodol., 2024)

KernelGPT: Enhanced Kernel Fuzzing via Large Language Models. - Chenyuan Yang; Zijie Zhao; Lingming Zhang 001 (ASPLOS (2), 2025)

Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging. - Siyuan Feng; Jiawei Liu 004; Ruihang Lai; Charlie Ruan; Yong Yu 001; Lingming Zhang 001; Tianqi Chen 001 (Proc. ACM Softw. Eng., 2025)

Demystifying LLM-Based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (Proc. ACM Softw. Eng., 2025)

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution. - Yuxiang Wei 003; Olivier Duchenne; Jade Copet; Quentin Carbonneaux; Lingming Zhang 001; Daniel Fried; Gabriel Synnaeve; Rishabh Singh; Sida I. Wang (CoRR, 2025)

Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis. - Xueying Du; Kai Yu; Chong Wang 013; Yi Zou; Wentai Deng; Zuoyu Ou; Xin Peng 001; Lingming Zhang 001; Yiling Lou (CoRR, 2025)

PurpCode: Reasoning for Safer Code Generation. - Jiawei Liu 004; Nirav Diwan; Zhe Wang; Haoyu Zhai; Xiaona Zhou; Kiet A. Nguyen; Tianjiao Yu; Muntasir Wahed; Yinlin Deng; Hadjer Benkraouda; Yuxiang Wei 003; Lingming Zhang 001; et al. (CoRR, 2025)