| Llmparser: An exploratory study on using large language models for log parsing Z Ma, AR Chen, DJ Kim, TH Chen, S Wang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 43 | 2024 |
| Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs AR Chen, THP Chen, S Wang IEEE Transactions on Software Engineering, 2022 | 40 | 2022 |
| An Empirical Study on Leveraging Logs for Debugging Production Failures AR Chen 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 26 | 2019 |
| Demystifying the challenges and benefits of analyzing user-reported logs in bug reports AR Chen, THP Chen, S Wang Empirical Software Engineering (EMSE) 26 (1), 1-30, 2021 | 23 | 2021 |
| How Useful is Code Change Information for Fault Localization in Continuous Integration? AR Chen, THP Chen, J Chen IEEE/ACM International Conference on Automated Software Engineering, 2022 | 15 | 2022 |
| Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages Z Li, AR Chen, X Hu, X Xia, TH Chen, W Shang Proceedings of the 38th IEEE/ACM International Conference on Automated …, 2023 | 12 | 2023 |
| Testeval: Benchmarking large language models for test case generation W Wang, C Yang, Z Wang, Y Huang, Z Chu, D Song, L Zhang, AR Chen, ... arXiv preprint arXiv:2406.04531, 2024 | 11 | 2024 |
| LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. In 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE) Z Ma, AR Chen, DJ Kim, TH Chen, S Wang IEEE Computer Society 4, 883-883, 2024 | 6 | 2024 |
| T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure AR Chen, THP Chen, S Wang IEEE Transactions on Software Engineering, 2022 | 6 | 2022 |
| Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization MN Rafi, AR Chen, THP Chen, S Wang arXiv preprint arXiv:2310.19139, 2023 | 4* | 2023 |
| Studying and leveraging user-provided logs in bug reports for debugging assistance C An Ran Concordia University, 2019 | 3 | 2019 |
| Python Symbolic Execution with LLM-powered Code Generation W Wang, K Liu, AR Chen, G Li, Z Jin, G Huang, L Ma arXiv preprint arXiv:2409.09271, 2024 | 2 | 2024 |
| Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation MN Rafi, DJ Kim, AR Chen, TH Chen, S Wang Proceedings of the ACM on Software Engineering 1 (FSE), 1937-1959, 2024 | 2 | 2024 |
| Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency MN Rafi, AR Chen, TH Chen, S Wang Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 2 | 2024 |
| Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests LBS Pacheco, AR Chen, J Yang, THP Chen arXiv preprint arXiv:2405.00565, 2024 | 1 | 2024 |
| Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing W Wang, X Xie, Y Huang, R Wang, AR Chen, L Ma arXiv preprint arXiv:2501.09866, 2025 | | 2025 |
| Towards Better Graph Neural Neural Network-based Fault Localization Through Enhanced Code Representation M Nakhla Rafi, DJ Kim, AR Chen, TH Chen, S Wang arXiv e-prints, arXiv: 2404.04496, 2024 | | 2024 |
| Extending the Reach of Fault Localization to Assist in Automated Debugging AR Chen Concordia University, 2023 | | 2023 |
Tse-Hsun (Peter) ChenAssociate Professor in Computer Science, Concordia University, Montreal, CanadaEmail được xác minh tại encs.concordia.ca