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ORCIDYiling Lou
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2020 – today
- 2025
[j8]Ruixin Wang
, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang:
Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. Proc. ACM Program. Lang. 9(OOPSLA1): 1831-1857 (2025)- [j7]Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang:
Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. Proc. ACM Program. Lang. 9(OOPSLA1): 1831-1857 (2025) - [j6]Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao:
SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization. IEEE Trans. Software Eng. 51(4): 1173-1187 (2025) - [i23]Yifan Zhao, Zeyu Sun, Guoqing Wang, Qingyuan Liang, Yakun Zhang, Yiling Lou, Dan Hao, Lu Zhang:
Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases. CoRR abs/2501.02216 (2025) - [i22]Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang:
Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. CoRR abs/2503.00618 (2025) - [i21]Alperen Yildiz, Sin G. Teo, Yiling Lou, Yebo Feng, Chong Wang, Dinil M. Divakaran:
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories. CoRR abs/2503.03586 (2025) - [i20]Xin Peng, Chong Wang, Mingwei Liu, Yiling Lou, Yijian Wu:
Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Maintenance. CoRR abs/2503.07967 (2025) - 2024
- [j5]Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang:
What can we learn from quality assurance badges in open-source software? Sci. China Inf. Sci. 67(4) (2024) - [j4]Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou:
Evaluating and Improving ChatGPT for Unit Test Generation. Proc. ACM Softw. Eng. 1(FSE): 1703-1726 (2024) - [j3]Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen, Lu Zhang, Lingming Zhang:
When Automated Program Repair Meets Regression Testing - An Extensive Study on Two Million Patches. ACM Trans. Softw. Eng. Methodol. 33(7): 180:1-180:23 (2024) - [c25]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
Evaluating Large Language Models in Class-Level Code Generation. ICSE 2024: 81:1-81:13 - [i19]Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao:
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR abs/2403.16362 (2024) - [i18]Junwei Liu, Yixuan Chen, Mingwei Liu, Xin Peng, Yiling Lou:
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis. CoRR abs/2406.10018 (2024) - [i17]Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou:
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG. CoRR abs/2406.11147 (2024) - [i16]Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng:
TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference. CoRR abs/2407.02095 (2024) - [i15]Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou:
Large Language Model-Based Agents for Software Engineering: A Survey. CoRR abs/2409.02977 (2024) - [i14]Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Kai Yu, Xin Peng, Yiling Lou:
TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation. CoRR abs/2409.19894 (2024) - [i13]Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu:
Benchmarking Bias in Large Language Models during Role-Playing. CoRR abs/2411.00585 (2024) - 2023
- [c24]Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan:
Revisiting Learning-based Commit Message Generation. ICSE 2023: 794-805 - [c23]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE 2023: 1251-1263 - [c22]Mingwei Liu, Tianyong Yang, Yiling Lou, Xueying Du, Ying Wang, Xin Peng:
CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation. ASE 2023: 434-445 - [c21]Chong Wang, Yiling Lou, Junwei Liu, Xin Peng:
Generating Variable Explanations via Zero-shot Prompt Learning. ASE 2023: 748-760 - [c20]Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao:
Merge Conflict Resolution: Classification or Generation? ASE 2023: 1652-1663 - [c19]Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou:
Mining Resource-Operation Knowledge to Support Resource Leak Detection. ESEC/SIGSOFT FSE 2023: 986-998 - [c18]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 - [c17]Xueying Du, Yiling Lou, Mingwei Liu, Xin Peng, Tianyong Yang:
KG4CraSolver: Recommending Crash Solutions via Knowledge Graph. ESEC/SIGSOFT FSE 2023: 1242-1254 - [c16]Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang:
Recommending Analogical APIs via Knowledge Graph Embedding. ESEC/SIGSOFT FSE 2023: 1496-1508 - [i12]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR abs/2302.01857 (2023) - [i11]Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng:
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation. CoRR abs/2305.04207 (2023) - [i10]Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou:
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation. CoRR abs/2308.01240 (2023) - [i9]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation. CoRR abs/2308.01861 (2023) - [i8]Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang:
Recommending Analogical APIs via Knowledge Graph Embedding. CoRR abs/2308.11422 (2023) - [i7]Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou:
Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference. CoRR abs/2311.04448 (2023) - [i6]Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou:
Resolving Crash Bugs via Large Language Models: An Empirical Study. CoRR abs/2312.10448 (2023) - 2022
- [j2]Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang:
Evaluating and Improving Unified Debugging. IEEE Trans. Software Eng. 48(11): 4692-4716 (2022) - [c15]Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang:
Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. ICSE 2022: 163-174 - [c14]Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao:
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. ICSE 2022: 970-981 - [i5]Yuehan Wang, Jun Yang, Yiling Lou, Ming Wen, Lingming Zhang:
Attention: Not Just Another Dataset for Patch-Correctness Checking. CoRR abs/2207.06590 (2022) - 2021
- [c13]Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. ICSE 2021: 674-685 - [c12]Jingjing Liang, Ruyi Ji, Jiajun Jiang, Shurui Zhou, Yiling Lou, Yingfei Xiong, Gang Huang:
Interactive Patch Filtering as Debugging Aid. ICSME 2021: 239-250 - [c11]Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu:
An empirical study on challenges of application development in serverless computing. ESEC/SIGSOFT FSE 2021: 416-428 - [c10]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 - [i4]Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. CoRR abs/2101.04930 (2021) - [i3]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
- [c9]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 - [c8]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 - [c7]Jinhao Dong, Yiling Lou, Dan Hao:
SRRTA: Regression Testing Acceleration via State Reuse. ASE 2020: 1244-1248 - [c6]Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang:
Understanding build issue resolution in practice: symptoms and fix patterns. ESEC/SIGSOFT FSE 2020: 617-628 - [i2]Jingjing Liang, Ruyi Ji, Jiajun Jiang, Yiling Lou, Yingfei Xiong, Gang Huang:
Interactive Patch Filtering as Debugging Aid. CoRR abs/2004.08746 (2020)
2010 – 2019
- 2019
- [j1]Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao:
Chapter One - A Survey on Regression Test-Case Prioritization. Adv. Comput. 113: 1-46 (2019) - [c5]Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang:
History-driven build failure fixing: how far are we? ISSTA 2019: 43-54 - [i1]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
- [c4]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 - 2016
- [c3]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 - [c2]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 - 2015
- [c1]Yiling Lou, Dan Hao, Lu Zhang:
Mutation-based test-case prioritization in software evolution. ISSRE 2015: 46-57
Coauthor Index
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last updated on 2025-05-03 23:32 CEST by the dblp team
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