Ratnadira Widyasari

According to our database, Ratnadira Widyasari authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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

CoRR, 2023

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

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