Registered user since Tue 26 Sep 2017
Dr. Chakkrit (Kla) Tantithamthavorn is an ARC DECRA Fellow and a lecturer in the Faculty of Information Technology, Monash University, Australia. His current research focuses on practical and explainable analytics to prevent future software defects. His research has been published at top-tier software engineering venues, such as IEEE Transactions on Software Engineering (TSE), Empirical Software Engineering (EMSE), and the International Conference on Software Engineering (ICSE). He is best known as a lead instructor at MSR Education 2019 about Guidelines and Pitfalls for Mining, Analyzing, Modelling, and Explaining Software Defects, and the author of the ScottKnott ESD R package (i.e., a statistical mean comparison test) with more than 10,000 downloads. More about him is available at http://chakkrit.com
Contributions
2025
2024
ICSE
- Author of Extrapolating Coverage Rate in Greybox Fuzzing within the Research Track-track
- Author of Extrapolating Coverage Rate in Greybox Fuzzing - Artifacts within the Artifact Evaluation-track
- Author of VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types within the Journal-first Papers-track
- Author of AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities within the Journal-first Papers-track
2023
Mining Software Repositories
ESEC/FSE
APSEC
ICSE
- Author of Search-Based Fairness Testing for Regression-Based Machine Learning Systems within the Journal-First Papers-track
- Publicity Co-Chairs in Organising Committee
- Author of Reachable Coverage: Estimating Saturation in Fuzzing - Artifacts within the Artifact Evaluation-track
- Session Chair of Defect analysis (part of Technical Track)
- Author of What Would You do? An Ethical AI Quiz within the DEMO - Demonstrations-track
- Program Committee Member in Technical Track within the Technical Track-track
- Author of Reachable Code Coverage within the Technical Track-track
2022
ESEC/FSE
ICSE
- Author of AutoTransform: Automated Code Transformation to Support Modern Code Review Process within the Technical Track-track
- Committee Member in Program Committee within the Technical Track-track
- Author of SQAPlanner: Generating Data-Informed Software Quality Improvement Plans -- A Journal-First Presentation within the Journal-First Papers-track
Mining Software Repositories
- Data/Tool Showcase Co-Chair in Organizing Committee
- Data/Tool Showcase Co-Chair in Data Showcase Committee within the Data and Tool Showcase Track-track
- Session Chair of Session 14: Software Quality (part of Technical Papers)
- Committee Member in Program Committee within the Technical Papers-track
- Author of LineVul: A Transformer-based Line-Level Vulnerability Prediction within the Technical Papers-track
2021
ASE
- Presenter of Explainable AI for Software Engineering within the Tutorials-track
- Publicity and Social Media Chair in Organizing Committee
- Committee Member in Program Committee within the Research Papers-track
- Author of PyExplainer: Explaining the Predictions of Just-In-Time Defect Models within the Artifact Evaluation-track
- Author of PyExplainer: Explaining the Predictions of Just-In-Time Defect Models within the Research Papers-track
ICSE
- Committee Member in Program Committee within the Technical Track-track
- Author of An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models within the Journal-First Papers-track
- Author of Predicting Defective Lines Using a Model-Agnostic Technique within the Journal-First Papers-track
- Author of Assessing the Students' Understanding and their Mistakes in Code Review Checklists -An Experience Report of 1,791 Code Review Checklists from 394 Students within the JSEET - Joint Track on Software Engineering Education and Training-track
Mining Software Repositories
- Author of Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models within the Technical Papers-track
- Committee Member in Program Committee within the Technical Papers-track
- Author of JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction within the Technical Papers-track