Ratnadira Widyasari

According to our database, Ratnadira Widyasari authored at least 26 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Explaining Explanations: An Empirical Study of Explanations in Code Reviews.

Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo

ACM Trans. Softw. Eng. Methodol., July, 2025

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval.

Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

CoRR, July, 2025

Mapping NVD Records to Their VFCs: How Hard is it?

Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo

CoRR, June, 2025

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents.

Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

CoRR, May, 2025

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation.

Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, April, 2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.

Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo

CoRR, February, 2025

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

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, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel.

Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo

IEEE Trans. Software Eng., September, 2024

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.

Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo

ACM Trans. Softw. Eng. Methodol., June, 2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.

Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, 2024

Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques.

Ratnadira Widyasari, David Lo, Lizi Liao

CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

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

CoRR, 2024

Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization.

Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo

CoRR, 2024

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.

Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen

CoRR, 2024

Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization.

Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2024

2023

Multi-Granularity Detector for Vulnerability Fixes.

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

IEEE Trans. Software Eng., August, 2023

Explaining Explanation: An Empirical Study on Explanation in Code Reviews.

Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, David Lo

CoRR, 2023

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge.

Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

CoRR, 2023

APIHarvest: Harvesting API Information from Various Online Sources.

Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

CoRR, 2023

Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?

Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2023

NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python.

Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.

Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects.

Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo

Empir. Softw. Eng., 2022

On the Influence of Biases in Bug Localization: Evaluation and Benchmark.

Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence.

Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2020

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies.

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020