Ratnadira Widyasari

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Code Generation

Machine Learning

Fault Localization

Top Venues

Publications

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 (2024)
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 (2024)
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)
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 (2024)
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) (2024)
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 (2024)
Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. CoRR (2023)
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 (2023)
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 (2023)
Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
APIHarvest: Harvesting API Information from Various Online Sources. CoRR (2023)
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)
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)
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) (2023)
Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, David Lo
Explaining Explanation: An Empirical Study on Explanation in Code Reviews. CoRR (2023)
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 (2023)
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach D. Le, Ming Li, David Lo
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. CoRR (2023)
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)
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 (2023)
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) (2022)
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)
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)
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)