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ORCIDLingming Zhang 0001
Person information
- affiliation: University of Illinois Urbana-Champaign, USA
- affiliation (former): University of Texas at Dallas, USA
Other persons with the same name
- Lingming Zhang — disambiguation page
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2020 – today
- 2024
[c94]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Lingming Zhang:
\mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. ACL (1) 2024: 12941-12955- [c93]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Empowering Code Generation with OSS-Instruct. ICML 2024 - [c92]Yinlin Deng
, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang:
Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries. ICSE 2024: 70:1-70:13 - [c91]Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang:
Fuzz4All: Universal Fuzzing with Large Language Models. ICSE 2024: 126:1-126:13 - [c90]Yicheng Ouyang, Jun Yang, Lingming Zhang:
Benchmarking Automated Program Repair: An Extensive Study on Both Real-World and Artificial Bugs. ISSTA 2024: 440-452 - [c89]Chunqiu Steven Xia, Lingming Zhang:
Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT. ISSTA 2024: 819-831 - [i37]Chenyuan Yang, Zijie Zhao, Lingming Zhang:
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models. CoRR abs/2401.00563 (2024) - [i36]Chunqiu Steven Xia, Yinlin Deng, Lingming Zhang:
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM. CoRR abs/2403.19114 (2024) - [i35]Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen:
Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR abs/2404.09151 (2024) - [i34]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Terry Yue Zhuo, Lingming Zhang:
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. CoRR abs/2404.15247 (2024) - [i33]Cheryl Lee, Chunqiu Steven Xia, Jen-tse Huang, Zhouruixin Zhu, Lingming Zhang, Michael R. Lyu:
A Unified Debugging Approach via LLM-Based Multi-Agent Synergy. CoRR abs/2404.17153 (2024) - [i32]Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang:
RepoQA: Evaluating Long Context Code Understanding. CoRR abs/2406.06025 (2024) - [i31]Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, Lingming Zhang:
Agentless: Demystifying LLM-based Software Engineering Agents. CoRR abs/2407.01489 (2024) - [i30]Jiawei Liu, Songrun Xie, Junhao Wang, Yuxiang Wei, Yifeng Ding, Lingming Zhang:
Evaluating Language Models for Efficient Code Generation. CoRR abs/2408.06450 (2024) - 2023
- [c88]Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang:
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. ASPLOS (2) 2023: 530-543 - [c87]Mingyuan Wu, Minghai Lu, Heming Cui, Junjie Chen, Yuqun Zhang, Lingming Zhang:
JITfuzz: Coverage-guided Fuzzing for JVM Just-in-Time Compilers. ICSE 2023: 56-68 - [c86]Ling Jiang, Hengchen Yuan, Mingyuan Wu, Lingming Zhang, Yuqun Zhang:
Evaluating and Improving Hybrid Fuzzing. ICSE 2023: 410-422 - [c85]Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang:
Fuzzing Automatic Differentiation in Deep-Learning Libraries. ICSE 2023: 1174-1186 - [c84]Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang:
Automated Program Repair in the Era of Large Pre-trained Language Models. ICSE 2023: 1482-1494 - [c83]Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang:
Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. ICSE 2023: 1801-1813 - [c82]Yicheng Ouyang, Kailai Shao, Kunqiu Chen, Ruobing Shen, Chao Chen, Mingze Xu, Yuqun Zhang, Lingming Zhang:
MirrorTaint: Practical Non-intrusive Dynamic Taint Tracking for JVM-based Microservice Systems. ICSE 2023: 2514-2526 - [c81]Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang:
Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. ISSTA 2023: 423-435 - [c80]Tianchang Gao, Junjie Chen, Yingquan Zhao, Yuqun Zhang, Lingming Zhang:
Vectorizing Program Ingredients for Better JVM Testing. ISSTA 2023: 526-537 - [c79]Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang:
The Plastic Surgery Hypothesis in the Era of Large Language Models. ASE 2023: 522-534 - [c78]Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang:
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. NeurIPS 2023 - [c77]Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang:
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair. ESEC/SIGSOFT FSE 2023: 172-184 - [c76]Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang:
NeuRI: Diversifying DNN Generation via Inductive Rule Inference. ESEC/SIGSOFT FSE 2023: 657-669 - [c75]Jun Yang, Yuehan Wang, Yiling Lou, Ming Wen, Lingming Zhang:
A Large-Scale Empirical Review of Patch Correctness Checking Approaches. ESEC/SIGSOFT FSE 2023: 1203-1215 - [i29]Chunqiu Steven Xia, Lingming Zhang:
Conversational Automated Program Repair. CoRR abs/2301.13246 (2023) - [i28]Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang:
NeuRI: Diversifying DNN Generation via Inductive Rule Inference. CoRR abs/2302.02261 (2023) - [i27]Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang:
Fuzzing Automatic Differentiation in Deep-Learning Libraries. CoRR abs/2302.04351 (2023) - [i26]Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang:
Revisiting the Plastic Surgery Hypothesis via Large Language Models. CoRR abs/2303.10494 (2023) - [i25]Chunqiu Steven Xia, Lingming Zhang:
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT. CoRR abs/2304.00385 (2023) - [i24]Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang:
Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT. CoRR abs/2304.02014 (2023) - [i23]Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang:
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. CoRR abs/2305.01210 (2023) - [i22]Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang:
Universal Fuzzing via Large Language Models. CoRR abs/2308.04748 (2023) - [i21]Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang:
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair. CoRR abs/2309.00608 (2023) - [i20]Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang:
White-box Compiler Fuzzing Empowered by Large Language Models. CoRR abs/2310.15991 (2023) - [i19]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Source Code Is All You Need. CoRR abs/2312.02120 (2023) - 2022
- [j14]Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang:
Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. Proc. ACM Program. Lang. 6(OOPSLA1): 1-26 (2022) - [j13]Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang:
Evaluating and Improving Unified Debugging. IEEE Trans. Software Eng. 48(11): 4692-4716 (2022) - [c74]Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yuqun Zhang, Guowei Yang, Huixin Ma, Sen Nie, Shi Wu, Heming Cui, Lingming Zhang:
Evaluating and Improving Neural Program-Smoothing-based Fuzzing. ICSE 2022: 847-858 - [c73]Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. ICSE 2022: 995-1007 - [c72]Yingquan Zhao, Zan Wang, Junjie Chen, Mengdi Liu, Mingyuan Wu, Yuqun Zhang, Lingming Zhang:
History-Driven Test Program Synthesis for JVM Testing. ICSE 2022: 1133-1144 - [c71]Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yanwei Huang, Heming Cui, Lingming Zhang, Yuqun Zhang:
One Fuzzing Strategy to Rule Them All. ICSE 2022: 1634-1645 - [c70]Samuel Benton, Yuntong Xie, Lan Lu, Mengshi Zhang, Xia Li, Lingming Zhang:
Towards Boosting Patch Execution On-the-Fly. ICSE 2022: 2165-2176 - [c69]Fabrizio Pastore, Lingming Zhang:
Message from the Program Co-Chairs: ISSRE 2022. ISSRE 2022: xiv - [c68]Zhengran Zeng, Hanzhuo Tan, Haotian Zhang, Jing Li, Yuqun Zhang, Lingming Zhang:
An extensive study on pre-trained models for program understanding and generation. ISSTA 2022: 39-51 - [c67]Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, Lingming Zhang:
Learning to Construct Better Mutation Faults. ASE 2022: 64:1-64:13 - [c66]Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang:
Fuzzing deep-learning libraries via automated relational API inference. ESEC/SIGSOFT FSE 2022: 44-56 - [c65]Chunqiu Steven Xia, Lingming Zhang:
Less training, more repairing please: revisiting automated program repair via zero-shot learning. ESEC/SIGSOFT FSE 2022: 959-971 - [i18]Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. CoRR abs/2201.06589 (2022) - [i17]Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang:
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation. CoRR abs/2202.09947 (2022) - [i16]Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang:
Fuzzing Deep-Learning Libraries via Automated Relational API Inference. CoRR abs/2207.05531 (2022) - [i15]Yuehan Wang, Jun Yang, Yiling Lou, Ming Wen, Lingming Zhang:
Attention: Not Just Another Dataset for Patch-Correctness Checking. CoRR abs/2207.06590 (2022) - [i14]Chunqiu Steven Xia, Lingming Zhang:
Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning. CoRR abs/2207.08281 (2022) - [i13]Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang:
Finding Deep-Learning Compilation Bugs with NNSmith. CoRR abs/2207.13066 (2022) - [i12]Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang:
Practical Program Repair in the Era of Large Pre-trained Language Models. CoRR abs/2210.14179 (2022) - [i11]Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang:
Fuzzing Deep-Learning Libraries via Large Language Models. CoRR abs/2212.14834 (2022) - 2021
- [j12]Mengshi Zhang, Yaoxian Li, Xia Li, Lingchao Chen, Yuqun Zhang, Lingming Zhang, Sarfraz Khurshid:
An Empirical Study of Boosting Spectrum-Based Fault Localization via PageRank. IEEE Trans. Software Eng. 47(6): 1089-1113 (2021) - [c64]Lingchao Chen, Yicheng Ouyang, Lingming Zhang:
Fast and Precise On-the-fly Patch Validation for All. ICSE 2021: 1123-1134 - [c63]Xia Li, Jiajun Jiang, Samuel Benton, Yingfei Xiong, Lingming Zhang:
A Large-scale Study on API Misuses in the Wild. ICST 2021: 241-252 - [c62]Zhengran Zeng, Yuqun Zhang, Haotian Zhang, Lingming Zhang:
Deep just-in-time defect prediction: how far are we? ISSTA 2021: 427-438 - [c61]Runxiang Cheng, Lingming Zhang, Darko Marinov, Tianyin Xu:
Test-case prioritization for configuration testing. ISSTA 2021: 452-465 - [c60]Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, Lingming Zhang:
Boosting coverage-based fault localization via graph-based representation learning. ESEC/SIGSOFT FSE 2021: 664-676 - [i10]Samuel Benton, Mengshi Zhang, Xia Li, Lingming Zhang:
Self-Boosted Automated Program Repair. CoRR abs/2104.04611 (2021) - [i9]Yiling Lou, Samuel Benton, Dan Hao, Lu Zhang, Lingming Zhang:
How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches. CoRR abs/2105.07311 (2021) - 2020
- [j11]Junjie Chen, Zhuo Wu, Zan Wang, Hanmo You, Lingming Zhang, Ming Yan:
Practical Accuracy Estimation for Efficient Deep Neural Network Testing. ACM Trans. Softw. Eng. Methodol. 29(4): 30:1-30:35 (2020) - [c59]Lingchao Chen, Foyzul Hassan, Xiaoyin Wang, Lingming Zhang:
Taming behavioral backward incompatibilities via cross-project testing and analysis. ICSE 2020: 112-124 - [c58]Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu:
DeepBillboard: systematic physical-world testing of autonomous driving systems. ICSE 2020: 347-358 - [c57]Mingyuan Wu, Yicheng Ouyang, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang:
Simulee: detecting CUDA synchronization bugs via memory-access modeling. ICSE 2020: 937-948 - [c56]Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang:
Can automated program repair refine fault localization? a unified debugging approach. ISSTA 2020: 75-87 - [c55]Qianyang Peng, August Shi, Lingming Zhang:
Empirically revisiting and enhancing IR-based test-case prioritization. ISSTA 2020: 324-336 - [c54]Junjie Chen, Haoyang Ma, Lingming Zhang:
Enhanced Compiler Bug Isolation via Memoized Search. ASE 2020: 78-89 - [c53]Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang:
On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems. ASE 2020: 907-918 - [i8]Lingchao Chen, Lingming Zhang:
Fast and Precise On-the-fly Patch Validation for All. CoRR abs/2007.11449 (2020)
2010 – 2019
- 2019
- [j10]Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao:
Chapter One - A Survey on Regression Test-Case Prioritization. Adv. Comput. 113: 1-46 (2019) - [j9]August Shi, Milica Hadzi-Tanovic, Lingming Zhang, Darko Marinov, Owolabi Legunsen:
Reflection-aware static regression test selection. Proc. ACM Program. Lang. 3(OOPSLA): 187:1-187:29 (2019) - [j8]Zheng Dong, Cong Liu, Soroush Bateni, Zelun Kong, Liang He, Lingming Zhang, Ravi Prakash, Yuqun Zhang:
A General Analysis Framework for Soft Real-Time Tasks. IEEE Trans. Parallel Distributed Syst. 30(6): 1222-1237 (2019) - [j7]Jie Zhang, Lingming Zhang, Mark Harman, Dan Hao, Yue Jia, Lu Zhang:
Predictive Mutation Testing. IEEE Trans. Software Eng. 45(9): 898-918 (2019) - [j6]Qi Luo, Kevin Moran, Lingming Zhang, Denys Poshyvanyk:
How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. IEEE Trans. Software Eng. 45(11): 1054-1080 (2019) - [c52]Samuel Benton, Ali Ghanbari, Lingming Zhang:
Defexts: a curated dataset of reproducible real-world bugs for modern JVM languages. ICSE (Companion Volume) 2019: 47-50 - [c51]Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman:
An Empirical Comparison of Mutant Selection Assessment Metrics. ICST Workshops 2019: 90-101 - [c50]Dongyu Mao, Lingchao Chen, Lingming Zhang:
An Extensive Study on Cross-Project Predictive Mutation Testing. ICST 2019: 160-171 - [c49]Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang:
Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? ICST 2019: 252-263 - [c48]Hua Zhong, Lingming Zhang, Sarfraz Khurshid:
TestSage: Regression Test Selection for Large-Scale Web Service Testing. ICST 2019: 430-440 - [c47]Ali Ghanbari, Samuel Benton, Lingming Zhang:
Practical program repair via bytecode mutation. ISSTA 2019: 19-30 - [c46]Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang:
History-driven build failure fixing: how far are we? ISSTA 2019: 43-54 - [c45]Xia Li, Wei Li, Yuqun Zhang, Lingming Zhang:
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization. ISSTA 2019: 169-180 - [c44]Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang:
Inferring Program Transformations From Singular Examples via Big Code. ASE 2019: 255-266 - [c43]Mingyuan Wu, Lingming Zhang, Cong Liu, Shin Hwei Tan, Yuqun Zhang:
Automating CUDA Synchronization via Program Transformation. ASE 2019: 748-759 - [c42]Ali Ghanbari, Lingming Zhang:
PraPR: Practical Program Repair via Bytecode Mutation. ASE 2019: 1118-1121 - [c41]Zixin Li, Haoran Wu, Jiehui Xu, Xingya Wang, Lingming Zhang, Zhenyu Chen:
MuSC: A Tool for Mutation Testing of Ethereum Smart Contract. ASE 2019: 1198-1201 - [c40]Junjie Chen, Jiaqi Han, Peiyi Sun, Lingming Zhang, Dan Hao, Lu Zhang:
Compiler bug isolation via effective witness test program generation. ESEC/SIGSOFT FSE 2019: 223-234 - [i7]Mingyuan Wu, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang:
Characterizing and Detecting CUDA Program Bugs. CoRR abs/1905.01833 (2019) - [i6]Haoran Wu, Xingya Wang, Jiehui Xu, Weiqin Zou, Lingming Zhang, Zhenyu Chen:
Mutation Testing for Ethereum Smart Contract. CoRR abs/1908.03707 (2019) - [i5]Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Dan Hao, Lu Zhang:
Can Automated Program Repair Refine Fault Localization? CoRR abs/1910.01270 (2019) - 2018
- [j5]Xianglong Kong, Lingming Zhang, W. Eric Wong, Bixin Li:
The impacts of techniques, programs and tests on automated program repair: An empirical study. J. Syst. Softw. 137: 480-496 (2018) - [c39]Junjie Chen, Wenxiang Hu, Lingming Zhang, Dan Hao, Sarfraz Khurshid, Lu Zhang:
Learning to Accelerate Symbolic Execution via Code Transformation. ECOOP 2018: 6:1-6:27 - [c38]Alex Groce, Josie Holmes, Darko Marinov, August Shi, Lingming Zhang:
An extensible, regular-expression-based tool for multi-language mutant generation. ICSE (Companion Volume) 2018: 25-28 - [c37]Lingming Zhang:
Hybrid regression test selection. ICSE 2018: 199-209 - [c36]Jie Zhang, Dan Hao, Lingming Zhang, Lu Zhang:
To Detect Abnormal Program Behaviours via Mutation Deduction. ICST Workshops 2018: 11-17 - [c35]Lingchao Chen, Lingming Zhang:
Speeding up Mutation Testing via Regression Test Selection: An Extensive Study. ICST 2018: 58-69 - [c34]Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid:
DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems. ASE 2018: 132-142 - [c33]Junjie Chen, Yiling Lou, Lingming Zhang, Jianyi Zhou, Xiaoleng Wang, Dan Hao, Lu Zhang:
Optimizing test prioritization via test distribution analysis. ESEC/SIGSOFT FSE 2018: 656-667 - [i4]Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid:
DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing. CoRR abs/1802.02295 (2018) - [i3]Qi Luo, Kevin Moran, Lingming Zhang, Denys Poshyvanyk:
How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. CoRR abs/1806.09774 (2018) - [i2]Ali Ghanbari, Lingming Zhang:
Practical Program Repair via Bytecode Mutation. CoRR abs/1807.03512 (2018) - [i1]Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu:
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. CoRR abs/1812.10812 (2018) - 2017
- [j4]Xia Li, Lingming Zhang:
Transforming programs and tests in tandem for fault localization. Proc. ACM Program. Lang. 1(OOPSLA): 92:1-92:30 (2017) - [c32]Zheng Dong, Yuchuan Liu, Husheng Zhou, Xusheng Xiao, Yu Gu, Lingming Zhang, Cong Liu:
An energy-efficient offloading framework with predictable temporal correctness. SEC 2017: 19:1-19:12 - [c31]Hao Tang, Di Wang, Yingfei Xiong, Lingming Zhang, Xiaoyin Wang, Lu Zhang:
Conditional Dyck-CFL Reachability Analysis for Complete and Efficient Library Summarization. ESOP 2017: 880-908 - [c30]Junjie Chen, Yanwei Bai, Dan Hao, Lingming Zhang, Lu Zhang, Bing Xie:
How Do Assertions Impact Coverage-Based Test-Suite Reduction? ICST 2017: 418-423 - [c29]Mengshi Zhang, Xia Li, Lingming Zhang, Sarfraz Khurshid:
Boosting spectrum-based fault localization using PageRank. ISSTA 2017: 261-272 - [c28]Tung Dao, Lingming Zhang, Na Meng:
How does execution information help with information-retrieval based bug localization? ICPC 2017: 241-250 - 2016
- [c27]Yafeng Lu, Yiling Lou, Shiyang Cheng, Lingming Zhang, Dan Hao, Yangfan Zhou, Lu Zhang:
How does regression test prioritization perform in real-world software evolution? ICSE 2016: 535-546 - [c26]Jie Zhang, Ziyi Wang, Lingming Zhang, Dan Hao, Lei Zang, Shiyang Cheng, Lu Zhang:
Predictive mutation testing. ISSTA 2016: 342-353 - [c25]Junjie Chen, Yanwei Bai, Dan Hao, Lingming Zhang, Lu Zhang, Bing Xie, Hong Mei:
Supporting oracle construction via static analysis. ASE 2016: 178-189 - [c24]Hua Zhong, Lingming Zhang, Sarfraz Khurshid:
The comKorat Tool: Unified Combinatorial and Constraint-Based Generation of Structurally Complex Tests. NFM 2016: 107-113 - [c23]Owolabi Legunsen, Farah Hariri, August Shi, Yafeng Lu, Lingming Zhang, Darko Marinov:
An extensive study of static regression test selection in modern software evolution. SIGSOFT FSE 2016: 583-594 - [c22]Jie Zhang, Yiling Lou, Lingming Zhang, Dan Hao, Lu Zhang, Hong Mei:
Isomorphic regression testing: executing uncovered branches without test augmentation. SIGSOFT FSE 2016: 883-894 - [c21]Hua Zhong, Lingming Zhang, Sarfraz Khurshid:
Combinatorial generation of structurally complex test inputs for commercial software applications. SIGSOFT FSE 2016: 981-986 - 2015
- [c20]Ripon K. Saha, Lingming Zhang, Sarfraz Khurshid, Dewayne E. Perry:
An Information Retrieval Approach for Regression Test Prioritization Based on Program Changes. ICSE (1) 2015: 268-279 - [c19]Xianglong Kong, Lingming Zhang, W. Eric Wong, Bixin Li:
Experience report: How do techniques, programs, and tests impact automated program repair? ISSRE 2015: 194-204 - [c18]Shiyu Dong, Oswaldo Olivo, Lingming Zhang, Sarfraz Khurshid:
Studying the influence of standard compiler optimizations on symbolic execution. ISSRE 2015: 205-215 - [c17]Xiaoyin Wang, Lingming Zhang, Philip Tanofsky:
Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE. ISSTA 2015: 199-210 - [c16]Hao Tang, Xiaoyin Wang, Lingming Zhang, Bing Xie, Lu Zhang, Hong Mei:
Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks. POPL 2015: 83-95 - 2014
- [j3]Dan Hao, Lingming Zhang, Lu Zhang, Gregg Rothermel, Hong Mei:
A Unified Test Case Prioritization Approach. ACM Trans. Softw. Eng. Methodol. 24(2): 10:1-10:31 (2014) - [c15]Lingming Zhang, Guowei Yang, Neha Rungta, Suzette Person, Sarfraz Khurshid:
Feedback-driven dynamic invariant discovery. ISSTA 2014: 362-372 - 2013
- [j2]Lingming Zhang, Miryung Kim, Sarfraz Khurshid:
FaultTracer: a spectrum-based approach to localizing failure-inducing program edits. J. Softw. Evol. Process. 25(12): 1357-1383 (2013) - [c14]Lingming Zhang, Dan Hao, Lu Zhang, Gregg Rothermel, Hong Mei:
Bridging the gap between the total and additional test-case prioritization strategies. ICSE 2013: 192-201 - [c13]Milos Gligoric, Lingming Zhang, Cristiano Pereira, Gilles Pokam:
Selective mutation testing for concurrent code. ISSTA 2013: 224-234 - [c12]Lingming Zhang, Darko Marinov, Sarfraz Khurshid:
Faster mutation testing inspired by test prioritization and reduction. ISSTA 2013: 235-245 - [c11]Lingming Zhang, Milos Gligoric, Darko Marinov, Sarfraz Khurshid:
Operator-based and random mutant selection: Better together. ASE 2013: 92-102 - [c10]Lingming Zhang, Lu Zhang, Sarfraz Khurshid:
Injecting mechanical faults to localize developer faults for evolving software. OOPSLA 2013: 765-784 - 2012
- [j1]Hong Mei, Dan Hao, Lingming Zhang, Lu Zhang, Ji Zhou, Gregg Rothermel:
A Static Approach to Prioritizing JUnit Test Cases. IEEE Trans. Software Eng. 38(6): 1258-1275 (2012) - [c9]Lingming Zhang, Darko Marinov, Lu Zhang, Sarfraz Khurshid:
Regression mutation testing. ISSTA 2012: 331-341 - [c8]Lingming Zhang, Miryung Kim, Sarfraz Khurshid:
FaultTracer: a change impact and regression fault analysis tool for evolving Java programs. SIGSOFT FSE 2012: 40 - 2011
- [c7]Lingming Zhang, Miryung Kim, Sarfraz Khurshid:
Localizing failure-inducing program edits based on spectrum information. ICSM 2011: 23-32 - [c6]Lingming Zhang, Darko Marinov, Lu Zhang, Sarfraz Khurshid:
An Empirical Study of JUnit Test-Suite Reduction. ISSRE 2011: 170-179 - [c5]Shadi Abdul Khalek, Guowei Yang, Lingming Zhang, Darko Marinov, Sarfraz Khurshid:
TestEra: A tool for testing Java programs using alloy specifications. ASE 2011: 608-611 - 2010
- [c4]Lingming Zhang, Tao Xie, Lu Zhang, Nikolai Tillmann, Jonathan de Halleux, Hong Mei:
Test generation via Dynamic Symbolic Execution for mutation testing. ICSM 2010: 1-10
2000 – 2009
- 2009
- [c3]Dan Hao, Lingming Zhang, Lu Zhang, Jiasu Sun, Hong Mei:
VIDA: Visual interactive debugging. ICSE 2009: 583-586 - [c2]Lingming Zhang, Ji Zhou, Dan Hao, Lu Zhang, Hong Mei:
Prioritizing JUnit test cases in absence of coverage information. ICSM 2009: 19-28 - [c1]Lingming Zhang, Ji Zhou, Dan Hao, Lu Zhang, Hong Mei:
Jtop: Managing JUnit Test Cases in Absence of Coverage Information. ASE 2009: 677-679
Coauthor Index
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