| 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 | 74 | 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, 2023 | 9 | 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 | 9 | 2022 |
| 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 | 8 | 2022 |
| Iot-based smart parking system development R Widyasari, MZC Candra, S Akbar 2019 International Conference on Data and Software Engineering (ICoDSE), 1-6, 2019 | 8 | 2019 |
| 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 | 7 | 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 | 4 | 2022 |
| 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, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | | 2024 |
| Explaining Explanation: An Empirical Study on Explanation in Code Reviews R Widyasari, T Zhang, A Bouraffa, D Lo arXiv preprint arXiv:2311.09020, 2023 | | 2023 |
| Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel Y Lyu, HJ Kang, R Widyasari, J Lawall, D Lo arXiv preprint arXiv:2308.05060, 2023 | | 2023 |
| APISENS-Sentiment Scoring Tool for APIs with Crowd-Knowledge K Kim, F Thung, T Zhang, IC Irsan, R Widyasari, Z Yang, D Lo arXiv preprint arXiv:2304.05121, 2023 | | 2023 |
| APIHarvest: Harvesting API Information from Various Online Sources F Thung, K Kim, T Zhang, IC Irsan, R Widyasari, Z Yang, D Lo arXiv preprint arXiv:2304.02514, 2023 | | 2023 |
