Yiling Lou

According to our database, Yiling Lou authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating and Improving ChatGPT for Unit Test Generation.

Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou

Proc. ACM Softw. Eng., 2024

TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation.

Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Kai Yu, Xin Peng, Yiling Lou

CoRR, 2024

Large Language Model-Based Agents for Software Engineering: A Survey.

Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou

CoRR, 2024

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.

Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng

CoRR, 2024

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG.

Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou

CoRR, 2024

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis.

Junwei Liu, Yixuan Chen, Mingwei Liu, Xin Peng, Yiling Lou

CoRR, 2024

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao

CoRR, 2024

What can we learn from quality assurance badges in open-source software?

Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang

Sci. China Inf. Sci., 2024

Evaluating Large Language Models in Class-Level Code Generation.

Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Resolving Crash Bugs via Large Language Models: An Empirical Study.

Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou

CoRR, 2023

Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference.

Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou

CoRR, 2023

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.

Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou

CoRR, 2023

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.

Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou

CoRR, 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, Xin Peng

CoRR, 2023

A Large-Scale Empirical Review of Patch Correctness Checking Approaches.

Jun Yang, Yuehan Wang, Yiling Lou, Ming Wen, Lingming Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Mining Resource-Operation Knowledge to Support Resource Leak Detection.

Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

KG4CraSolver: Recommending Crash Solutions via Knowledge Graph.

Xueying Du, Yiling Lou, Mingwei Liu, Xin Peng, Tianyong Yang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Recommending Analogical APIs via Knowledge Graph Embedding.

Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Generating Variable Explanations via Zero-shot Prompt Learning.

Chong Wang, Yiling Lou, Junwei Liu, Xin Peng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation.

Mingwei Liu, Tianyong Yang, Yiling Lou, Xueying Du, Ying Wang, Xin Peng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Merge Conflict Resolution: Classification or Generation?

Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Revisiting Learning-based Commit Message Generation.

Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Evaluating and Improving Unified Debugging.

Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang

IEEE Trans. Software Eng., 2022

Attention: Not Just Another Dataset for Patch-Correctness Checking.

Yuehan Wang, Jun Yang, Yiling Lou, Ming Wen, Lingming Zhang

CoRR, 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.

Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation.

Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches.

Yiling Lou, Samuel Benton, Dan Hao, Lu Zhang, Lingming Zhang

CoRR, 2021

An empirical study on challenges of application development in serverless computing.

Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Boosting coverage-based fault localization via graph-based representation learning.

Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, Lingming Zhang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Interactive Patch Filtering as Debugging Aid.

Jingjing Liang, Ruyi Ji, Jiajun Jiang, Shurui Zhou, Yiling Lou, Yingfei Xiong, Gang Huang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications.

Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Interactive Patch Filtering as Debugging Aid.

Jingjing Liang, Ruyi Ji, Jiajun Jiang, Yiling Lou, Yingfei Xiong, Gang Huang

CoRR, 2020

Understanding build issue resolution in practice: symptoms and fix patterns.

Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

SRRTA: Regression Testing Acceleration via State Reuse.

Jinhao Dong, Yiling Lou, Dan Hao

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems.

Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Can automated program repair refine fault localization? a unified debugging approach.

Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019

Can Automated Program Repair Refine Fault Localization?

Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Dan Hao, Lu Zhang

CoRR, 2019

Chapter One - A Survey on Regression Test-Case Prioritization.

Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao

Adv. Comput., 2019

History-driven build failure fixing: how far are we?

Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang

Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

2018

Optimizing test prioritization via test distribution analysis.

Junjie Chen, Yiling Lou, Lingming Zhang, Jianyi Zhou, Xiaoleng Wang, Dan Hao, Lu Zhang

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2016

Isomorphic regression testing: executing uncovered branches without test augmentation.

Jie Zhang, Yiling Lou, Lingming Zhang, Dan Hao, Lu Zhang, Hong Mei

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

How does regression test prioritization perform in real-world software evolution?

Yafeng Lu, Yiling Lou, Shiyang Cheng, Lingming Zhang, Dan Hao, Yangfan Zhou, Lu Zhang

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

Mutation-based test-case prioritization in software evolution.

Yiling Lou, Dan Hao, Lu Zhang

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015