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; et al. (ESEC/SIGSOFT FSE, 2020)

XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. - Ratnadira Widyasari; Gede Artha Azriadi Prana; Stefanus A. Haryono; Yuan Tian 008; Hafil Noer Zachiary; David Lo 001 (ICPC, 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 001 (SANER, 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 002; David Lo 001 (Empir. Softw. Eng., 2022)

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 001; Ming Li 005; David Lo 001 (ICSE, 2023)

NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. - Ratnadira Widyasari; Zhou Yang 003; Ferdian Thung; Sheng Qin Sim; Fiona Wee; Camellia Lok; Jack Phan; Haodi Qi; Constance Tan; Qijin Tay; David Lo 001 (MSR, 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 001 (SANER, 2023)

APIHarvest: Harvesting API Information from Various Online Sources. - Ferdian Thung; Kisub Kim; Ting Zhang 011; Ivana Clairine Irsan; Ratnadira Widyasari; Zhou Yang 003; David Lo 001 (CoRR, 2023)

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. - Kisub Kim; Ferdian Thung; Ting Zhang 011; Ivana Clairine Irsan; Ratnadira Widyasari; Zhou Yang 003; David Lo 001 (CoRR, 2023)

Explaining Explanation: An Empirical Study on Explanation in Code Reviews. - Ratnadira Widyasari; Ting Zhang 011; Abir Bouraffa; David Lo 001 (CoRR, 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 001; Ahmed E. Hassan; Xuan-Bach Dinh Le 001; David Lo 001 (IEEE Trans. Software Eng., 2023)

Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. - Ratnadira Widyasari; Jia Wei Ang; Truong Giang Nguyen; Neil Sharma; David Lo 001 (SANER, 2024)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. - Sicong Cao; Xiaobing Sun 001; Ratnadira Widyasari; David Lo 001; Xiaoxue Wu 001; Lili Bo; Jiale Zhang 001; Bin Li 006; Wei Liu 010; Di Wu 050; Yixin Chen 001 (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 001 (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 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques. - Ratnadira Widyasari; David Lo 001; Lizi Liao (CoRR, 2024)

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. - Yikun Li; Ting Zhang 011; Ratnadira Widyasari; Yan Naing Tun; Huu Hung Nguyen; Tan Bui; Ivana Clairine Irsan; Yiran Cheng; Xiang Lan; Han Wei Ang; Frank Liauw; Martin Weyssow; et al. (CoRR, 2024)

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. - Yue Liu 011; Thanh Le-Cong; Ratnadira Widyasari; Chakkrit Tantithamthavorn; Li Li 029; Xuan-Bach Dinh Le 001; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. - Yunbo Lyu; Hong Jin Kang; Ratnadira Widyasari; Julia Lawall; David Lo 001 (IEEE Trans. Software Eng., 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (ICLR, 2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. - Xin Zhou 014; Martin Weyssow; Ratnadira Widyasari; Ting Zhang 011; Junda He; Yunbo Lyu; Jianming Chang; Beiqi Zhang; Dan Huang; David Lo 001 (CoRR, 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 001 (CoRR, 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 001 (CoRR, 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 011; David Lo 001 (CoRR, 2025)

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval. - Huihui Huang; Ratnadira Widyasari; Ting Zhang 011; Ivana Clairine Irsan; Jieke Shi; Han Wei Ang; Frank Liauw; Eng Lieh Ouh; Lwin Khin Shar; Hong Jin Kang; David Lo 001 (CoRR, 2025)

Explaining Explanations: An Empirical Study of Explanations in Code Reviews. - Ratnadira Widyasari; Ting Zhang 011; Abir Bouraffa; Walid Maalej; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)