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ORCIDRatnadira Widyasari
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2020 – today
- 2024
[j4]Yue Liu
, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo:
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. ACM Trans. Softw. Eng. Methodol. 33(5): 116:1-116:26 (2024)- [j3]Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo:
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. IEEE Trans. Software Eng. 50(9): 2219-2239 (2024) - [c7]Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo:
Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. SANER 2024: 568-579 - [i13]Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen:
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. CoRR abs/2401.14617 (2024) - [i12]Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR abs/2401.15481 (2024) - [i11]Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo:
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization. CoRR abs/2403.10507 (2024) - [i10]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - [i9]Ratnadira Widyasari, David Lo, Lizi Liao:
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques. CoRR abs/2409.01001 (2024) - 2023
- [j2]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 49(8): 4035-4057 (2023) - [c6]Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo:
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. ICSE 2023: 1033-1045 - [c5]Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo:
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. MSR 2023: 62-66 - [c4]Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo:
Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go? SANER 2023: 167-178 - [i8]Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo:
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. CoRR abs/2301.03944 (2023) - [i7]Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo:
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. CoRR abs/2303.06286 (2023) - [i6]Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APIHarvest: Harvesting API Information from Various Online Sources. CoRR abs/2304.02514 (2023) - [i5]Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR abs/2304.05121 (2023) - [i4]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. CoRR abs/2305.13884 (2023) - [i3]Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo:
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. CoRR abs/2307.12596 (2023) - [i2]Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo:
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. CoRR abs/2308.05060 (2023) - [i1]Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, David Lo:
Explaining Explanation: An Empirical Study on Explanation in Code Reviews. CoRR abs/2311.09020 (2023) - 2022
- [j1]Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo:
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. Empir. Softw. Eng. 27(6): 147 (2022) - [c3]Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo:
XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. ICPC 2022: 499-510 - [c2]Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo:
On the Influence of Biases in Bug Localization: Evaluation and Benchmark. SANER 2022: 128-139 - 2020
- [c1]Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. ESEC/SIGSOFT FSE 2020: 1556-1560
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