| Bugsinpy: a database of existing bugs in python programs to enable controlled testing and debugging studies R Widyasari, SQ Sim, C Lok, H Qi, J Phan, Q Tay, C Tan, F Wee, JE Tan, ... Proceedings of the 28th ACM joint meeting on european software engineering …, 2020 | 112 | 2020 |
| Refining chatgpt-generated code: Characterizing and mitigating code quality issues Y Liu, T Le-Cong, R Widyasari, C Tantithamthavorn, L Li, XBD Le, D Lo ACM Transactions on Software Engineering and Methodology 33 (5), 1-26, 2024 | 79 | 2024 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 60 | 2024 |
| Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects R Widyasari, GAA Prana, SA Haryono, S Wang, D Lo Empirical Software Engineering 27 (6), 147, 2022 | 20 | 2022 |
| Chronos: Time-aware zero-shot identification of libraries from vulnerability reports Y Lyu, T Le-Cong, HJ Kang, R Widyasari, Z Zhao, XBD Le, M Li, D Lo 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 18 | 2023 |
| XAI4FL: Enhancing spectrum-based fault localization with explainable artificial intelligence R Widyasari, GAA Prana, SA Haryono, Y Tian, HN Zachiary, D Lo Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 16 | 2022 |
| Harm de Vries, and Leandro Von Werra TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... Bigcodebench: Benchmarking code generation with diverse function calls and …, 2024 | 11 | 2024 |
| Multi-granularity detector for vulnerability fixes TG Nguyen, T Le-Cong, HJ Kang, R Widyasari, C Yang, Z Zhao, B Xu, ... IEEE Transactions on Software Engineering 49 (8), 4035-4057, 2023 | 11 | 2023 |
| Iot-based smart parking system development R Widyasari, MZC Candra, S Akbar 2019 International Conference on Data and Software Engineering (ICoDSE), 1-6, 2019 | 11 | 2019 |
| Niche: A curated dataset of engineered machine learning projects in python R Widyasari, Z Yang, F Thung, SQ Sim, F Wee, C Lok, J Phan, H Qi, ... 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 10 | 2023 |
| Demystifying faulty code: Step-by-step reasoning for explainable fault localization R Widyasari, JW Ang, TG Nguyen, N Sharma, D Lo 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 8 | 2024 |
| A systematic literature review on explainability for machine/deep learning-based software engineering research S Cao, X Sun, R Widyasari, D Lo, X Wu, L Bo, J Zhang, B Li, W Liu, D Wu, ... arXiv preprint arXiv:2401.14617, 2024 | 7 | 2024 |
| Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization R Widyasari, JW Ang, TG Nguyen, N Sharma, D Lo arXiv preprint arXiv:2403.10507, 2024 | 5 | 2024 |
| Explaining explanation: An empirical study on explanation in code reviews R Widyasari, T Zhang, A Bouraffa, W Maalej, D Lo arXiv preprint arXiv:2311.09020, 2023 | 5 | 2023 |
| On the influence of biases in bug localization: Evaluation and benchmark R Widyasari, SA Haryono, F Thung, J Shi, C Tan, F Wee, J Phan, D Lo 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 5 | 2022 |
| Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go? R Widyasari, Z Zhao, T Le Cong, HJ Kang, D Lo 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 3 | 2023 |
| Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques R Widyasari, D Lo, L Liao arXiv preprint arXiv:2409.01001, 2024 | 2 | 2024 |
| Evaluating SZZ implementations: An empirical study on the linux kernel Y Lyu, HJ Kang, R Widyasari, J Lawall, D Lo IEEE Transactions on Software Engineering, 2024 | 2 | 2024 |
| LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks X Zhou, M Weyssow, R Widyasari, T Zhang, J He, Y Lyu, J Chang, ... arXiv preprint arXiv:2502.06215, 2025 | | 2025 |
| CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics Y Li, T Zhang, R Widyasari, YN Tun, HH Nguyen, T Bui, IC Irsan, Y Cheng, ... arXiv preprint arXiv:2411.17274, 2024 | | 2024 |
