Yiling Lou

Orcid: 0000-0001-7814-0693

According to our database1, Yiling Lou authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.
CoRR, 2024

2023
Resolving Crash Bugs via Large Language Models: An Empirical Study.
CoRR, 2023

Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference.
CoRR, 2023

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.
CoRR, 2023

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.
CoRR, 2023

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation.
CoRR, 2023

A Large-Scale Empirical Review of Patch Correctness Checking Approaches.
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.
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.
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.
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.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Merge Conflict Resolution: Classification or Generation?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Revisiting Learning-based Commit Message Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Evaluating and Improving Unified Debugging.
IEEE Trans. Software Eng., 2022

Attention: Not Just Another Dataset for Patch-Correctness Checking.
CoRR, 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.
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.
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.
CoRR, 2021

An empirical study on challenges of application development in serverless computing.
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.
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.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Interactive Patch Filtering as Debugging Aid.
CoRR, 2020

Understanding build issue resolution in practice: symptoms and fix patterns.
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.
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.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Can automated program repair refine fault localization? a unified debugging approach.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019
Can Automated Program Repair Refine Fault Localization?
CoRR, 2019

Chapter One - A Survey on Regression Test-Case Prioritization.
Adv. Comput., 2019

History-driven build failure fixing: how far are we?
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

2018
Optimizing test prioritization via test distribution analysis.
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.
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?
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Mutation-based test-case prioritization in software evolution.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015


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