Chakkrit Tantithamthavorn

145 papers A* 10A 13B 1C 3Journal 102Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating large language models for multilingual vulnerability detection at dual granularities.
Empir. Softw. Eng.
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2026 J jnl
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
ACM Trans. Softw. Eng. Methodol.
Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang
2025 — conf
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
ISSTA Companion
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 J jnl
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
CoRR
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 J jnl
AI for DevSecOps: A Landscape and Future Opportunities.
ACM Trans. Softw. Eng. Methodol.
Michael Fu, Jirat Pasuksmit, Chakkrit Tantithamthavorn
2025 A* conf
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software.
ASE
Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Gunel Gulmammadova, Joselito Joey Chua
2025 J jnl
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software.
CoRR
Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Gunel Gulmammadova, Joselito Joey Chua
2025 J jnl
Blended PC Peer Review Model: Process and Reflection.
CoRR
Chakkrit Tantithamthavorn, Nicole Novielli, Ayushi Rastogi, Olga Baysal, Bram Adams
2025 J jnl
Blended PC Peer Review Model: Process and Reflection.
ACM SIGSOFT Softw. Eng. Notes
Chakkrit Tantithamthavorn, Nicole Novielli, Ayushi Rastogi, Olga Baysal, Bram Adams
2025 A conf
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian.
ICSME
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Michael Fu, Jirat Pasuksmit, Kun Chen, Ming Wu
2025 J jnl
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian.
CoRR
Wannita Takerngsaksiri, Michael Fu, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Kun Chen, Ming Wu
2025 J jnl
Comparing Human and LLM Generated Code: The Jury is Still Out!
CoRR
Sherlock A. Licorish, Ansh Bajpai, Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn
2025 J jnl
DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images.
IEEE Access
Michael Fu, Chakkrit Tantithamthavorn, Trung Le
2025 J jnl
DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software Systems.
CoRR
Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Gunel Gulmammadova, Joselito Joey Chua
2025 J jnl
DeepVulMatch: Learning and Matching Latent Vulnerability Representations for Dual-Granularity Vulnerability Detection.
IEEE Trans. Reliab.
Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
2025 J jnl
Enhancing large language models for text-to-testcase generation.
J. Syst. Softw.
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Wannita Takerngsaksiri, Chetan Arora, Aldeida Aleti
2025 A conf
From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry.
RE
Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn, Aldeida Aleti, Shaun Kenyon
2025 J jnl
From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry.
CoRR
Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn, Aldeida Aleti, Shaun Kenyon
2025 — conf
Human-In-The-Loop Software Development Agents.
SEIP@ICSE
Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu
2025 A conf
Human-In-The-Loop Software Development Agents: Challenges and Future Directions.
MSR
Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Shiyan Wang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu
2025 J jnl
Human-In-The-Loop Software Development Agents: Challenges and Future Directions.
CoRR
Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Shiyan Wang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu
2025 J jnl
Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
CoRR
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2025 A* conf
Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs.
ASE
Fanyu Wang, Chetan Arora, Yonghui Liu, Kaicheng Huang, Chakkrit Tantithamthavorn, Aldeida Aleti, Dishan Sambathkumar, David Lo
2025 J jnl
Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs.
CoRR
Fanyu Wang, Chetan Arora, Yonghui Liu, Kaicheng Huang, Chakkrit Tantithamthavorn, Aldeida Aleti, Dishan Sambathkumar, David Lo
2025 J jnl
Navigating fairness: practitioners' understanding, challenges, and strategies in AI/ML development.
Empir. Softw. Eng.
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
2025 J jnl
On the Evaluation of Large Language Models in Multilingual Vulnerability Repair.
CoRR
Dong Wang, Junji Yu, Honglin Shu, Michael Fu, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 A conf
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
SANER
Yue Liu, Chakkrit Tantithamthavorn, Li Li
2025 J jnl
Pytester: Deep reinforcement learning for text-to-testcase generation.
J. Syst. Softw.
Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li
2025 J jnl
RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice.
CoRR
Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Lisa Vandenhurk, Joselito Joey Chua
2025 J jnl
RAGVA: Engineering retrieval augmented generation-based virtual assistants in practice.
J. Syst. Softw.
Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Lisa Vandenhurk, Joselito Joey Chua
2025 J jnl
Requirements-Driven Automated Software Testing: A Systematic Review.
CoRR
Fanyu Wang, Chetan Arora, Chakkrit Tantithamthavorn, Kaicheng Huang, Aldeida Aleti
2025 — conf
SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software.
AIware
Wenliang Shan, Michael Fu, Rui Yang, Chakkrit Tantithamthavorn
2025 J jnl
SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems.
CoRR
Wenliang Shan, Michael Fu, Rui Yang, Chakkrit Tantithamthavorn
2025 J jnl
What Do AI/ML Practitioners Think About AI/ML Bias?
IEEE Softw.
Aastha Pant, Rashina Hoda, Burak Turhan, Chakkrit Tantithamthavorn
2025 J jnl
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation.
CoRR
Yue Liu, Zhenchang Xing, Shidong Pan, Chakkrit Tantithamthavorn
2024 J jnl
A Formal Explainer for Just-In-Time Defect Predictions.
ACM Trans. Softw. Eng. Methodol.
Jinqiang Yu, Michael Fu, Alexey Ignatiev, Chakkrit Tantithamthavorn, Peter J. Stuckey
2024 J jnl
A3Test: Assertion-Augmented Automated Test case generation.
Inf. Softw. Technol.
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti
2024 J jnl
AI for DevSecOps: A Landscape and Future Opportunities.
CoRR
Michael Fu, Jirat Pasuksmit, Chakkrit Tantithamthavorn
2024 J jnl
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.
Empir. Softw. Eng.
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy
2024 J jnl
Automatically Recommend Code Updates: Are We There Yet?
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li
2024 A conf
Code Ownership: The Principles, Differences, and Their Associations with Software Quality.
ISSRE
Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2024 J jnl
Code Ownership: The Principles, Differences, and Their Associations with Software Quality.
CoRR
Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2024 J jnl
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol.
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Dinh Q. Phung
2024 J jnl
Don't forget to change these functions! recommending co-changed functions in modern code review.
Inf. Softw. Technol.
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti
2024 J jnl
Enhancing Large Language Models for Text-to-Testcase Generation.
CoRR
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Chetan Arora, Aldeida Aleti
2024 J jnl
Ethics in AI through the practitioner's view: a grounded theory literature review.
Empir. Softw. Eng.
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
2024 J jnl
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.
ACM Trans. Softw. Eng. Methodol.
Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, Burak Turhan
2024 A* conf
Extrapolating Coverage Rate in Greybox Fuzzing.
ICSE
Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Böhme
2024 J jnl
Fine-tuning and prompt engineering for large language models-based code review automation.
Inf. Softw. Technol.
Chanathip Pornprasit, Chakkrit Tantithamthavorn
2024 J jnl
GPT-3.5 for Code Review Automation: How Do Few-Shot Learning, Prompt Design, and Model Fine-Tuning Impact Their Performance?
CoRR
Chanathip Pornprasit, Chakkrit Tantithamthavorn
2024 J jnl
Human-In-the-Loop Software Development Agents.
CoRR
Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu
2024 J jnl
MORTAR: Metamorphic Multi-turn Testing for LLM-based Dialogue Systems.
CoRR
Guoxiang Guo, Aldeida Aleti, Neelofar, Chakkrit Tantithamthavorn
2024 J jnl
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development.
CoRR
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
2024 J jnl
On the Reliability and Explainability of Language Models for Program Generation.
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
2024 — conf
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian.
SIGSOFT FSE Companion
Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, Anton Krasikov
2024 J jnl
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian.
CoRR
Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, Anton Krasikov
2024 J jnl
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li
2024 J jnl
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2024 B conf
Students' Perspectives on AI Code Completion: Benefits and Challenges.
COMPSAC
Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn
2024 J jnl
Syntax-aware on-the-fly code completion.
Inf. Softw. Technol.
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li
2024 J jnl
TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning.
CoRR
Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li
2024 J jnl
Vision Transformer Inspired Automated Vulnerability Repair.
ACM Trans. Softw. Eng. Methodol.
Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le
2024 J jnl
What do AI/ML practitioners think about AI/ML bias?
CoRR
Aastha Pant, Rashina Hoda, Burak Turhan, Chakkrit Tantithamthavorn
2023 J jnl
A Systematic Literature Review of Explainable AI for Software Engineering.
CoRR
Ahmad Haji Mohammadkhani, Nitin Sai Bommi, Mariem Daboussi, Onkar Sabnis, Chakkrit Tantithamthavorn, Hadi Hemmati
2023 J jnl
A3Test: Assertion-Augmented Automated Test Case Generation.
CoRR
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti
2023 J jnl
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities.
CoRR
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy
2023 J jnl
Augmented Agile: Human-Centered AI-Assisted Software Management.
IEEE Softw.
Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey
2023 J jnl
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?
CoRR
Michael Fu, Chakkrit Tantithamthavorn, Van Nguyen, Trung Le
2023 A conf
D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation.
SANER
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Chunyang Chen
2023 J jnl
Deep Learning for Android Malware Defenses: A Systematic Literature Review.
ACM Comput. Surv.
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2023 — conf
Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection.
ASEW
Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li
2023 J jnl
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.
CoRR
Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, Burak Turhan
2023 J jnl
Expert Perspectives on Explainability.
IEEE Softw.
Jürgen Cito, Satish Chandra, Chakkrit Tantithamthavorn, Hadi Hemmati
2023 J jnl
Explainable AI for SE: Challenges and Future Directions.
IEEE Softw.
Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, Satish Chandra
2023 C conf
Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work?
SCAM
Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati
2023 J jnl
GPT2SP: A Transformer-Based Agile Story Point Estimation Approach.
IEEE Trans. Software Eng.
Michael Fu, Chakkrit Tantithamthavorn
2023 J jnl
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.
CoRR
Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
2023 J jnl
On the Reliability and Explainability of Automated Code Generation Approaches.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
2023 J jnl
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
CoRR
Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang
2023 A* conf
Reachable Coverage: Estimating Saturation in Fuzzing.
ICSE
Danushka Liyanage, Marcel Böhme, Chakkrit Tantithamthavorn, Stephan Lipp
2023 J jnl
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
CoRR
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2023 J jnl
Students' Perspective on AI Code Completion: Benefits and Challenges.
CoRR
Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn
2023 C conf
Unit Testing Challenges with Automated Marking.
APSEC
Chakkrit Tantithamthavorn, Norman Chen
2023 J jnl
Unit Testing Challenges with Automated Marking.
CoRR
Chakkrit Tantithamthavorn, Norman Chen
2023 — conf
What Would You do? An Ethical AI Quiz.
ICSE Companion
Wei Teo, Ze Teoh, Dayang Abang Arabi, Morad Aboushadi, Khairenn Lai, Zhe Ng, Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
2022 J jnl
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability.
CoRR
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung
2022 A* conf
AutoTransform: Automated Code Transformation to Support Modern Code Review Process.
ICSE
Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn
2022 J jnl
AutoUpdate: Automatically Recommend Code Updates for Android Apps.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li
2022 — conf
CommentFinder: a simpler, faster, more accurate code review comments recommendation.
ESEC/SIGSOFT FSE
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti
2022 J jnl
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle.
CoRR
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung
2022 J jnl
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines.
CoRR
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
2022 A conf
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
ISSRE
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2022 J jnl
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2022 J jnl
Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work?
CoRR
Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati
2022 A conf
LineVul: A Transformer-based Line-Level Vulnerability Prediction.
MSR
Michael Fu, Chakkrit Tantithamthavorn
2022 J jnl
Predicting Defective Lines Using a Model-Agnostic Technique.
IEEE Trans. Software Eng.
Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto
2022 J jnl
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans.
IEEE Trans. Software Eng.
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine
2022 J jnl
Search-based fairness testing for regression-based machine learning systems.
Empir. Softw. Eng.
Anjana Perera, Aldeida Aleti, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Burak Turhan, Lisa Kuhn, Katie Walker
2022 J jnl
Software Engineering in Australasia.
CoRR
Sherlock A. Licorish, Christoph Treude, John C. Grundy, Chakkrit Tantithamthavorn, Kelly Blincoe, Stephen G. MacDonell, Li Li, Jean-Guy Schneider
2022 J jnl
Syntax-Aware On-the-Fly Code Completion.
CoRR
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li
2022 J jnl
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models.
IEEE Trans. Software Eng.
Dayi Lin, Chakkrit Tantithamthavorn, Ahmed E. Hassan
2022 — conf
VulRepair: a T5-based automated software vulnerability repair.
ESEC/SIGSOFT FSE
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung
2021 J jnl
Actionable Analytics: Stop Telling Me What It Is; Please Tell Me What To Do.
IEEE Softw.
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
2021 J jnl
Assessing the Students' Understanding and their Mistakes in Code Review Checklists - An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students.
CoRR
Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2021 — conf
Assessing the Students' Understanding and their Mistakes in Code Review Checklists: An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students.
ICSE (SEET)
Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2021 J jnl
Deep Learning for Android Malware Defenses: a Systematic Literature Review.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2021 A conf
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction.
MSR
Chanathip Pornprasit, Chakkrit Tantithamthavorn
2021 J jnl
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction.
CoRR
Chanathip Pornprasit, Chakkrit Tantithamthavorn
2021 A conf
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models.
MSR
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy
2021 J jnl
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models.
CoRR
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy
2021 A* conf
PyExplainer: Explaining the Predictions of Just-In-Time Defect Models.
ASE
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Michael Fu, Patanamon Thongtanunam
2021 J jnl
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans.
CoRR
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine
2021 J jnl
Software Engineering in Australasia.
ACM SIGSOFT Softw. Eng. Notes
Sherlock A. Licorish, Christoph Treude, John C. Grundy, Kelly Blincoe, Stephen G. MacDonell, Chakkrit Tantithamthavorn, Li Li, Jean-Guy Schneider
2021 J jnl
The Impact of Correlated Metrics on the Interpretation of Defect Models.
IEEE Trans. Software Eng.
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan
2020 J jnl
Explainable AI for Software Engineering.
CoRR
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John C. Grundy
2020 A* conf
JITBot: An Explainable Just-In-Time Defect Prediction Bot.
ASE
Chaiyakarn Khanan, Worawit Luewichana, Krissakorn Pruktharathikoon, Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta
2020 J jnl
Predicting Defective Lines Using a Model-Agnostic Technique.
CoRR
Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto
2020 J jnl
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models.
IEEE Trans. Software Eng.
Chakkrit Tantithamthavorn, Ahmed E. Hassan, Kenichi Matsumoto
2020 J jnl
The impact of automated feature selection techniques on the interpretation of defect models.
Empir. Softw. Eng.
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
2020 — conf
Workload-aware reviewer recommendation using a multi-objective search-based approach.
PROMISE
Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose
2019 A* conf
Mining software defects: should we consider affected releases?
ICSE
Suraj Yatish, Jirayus Jiarpakdee, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2019 J jnl
The Impact of Automated Parameter Optimization on Defect Prediction Models.
IEEE Trans. Software Eng.
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
2018 — conf
An experience report on defect modelling in practice: pitfalls and challenges.
ICSE (SEIP)
Chakkrit Tantithamthavorn, Ahmed E. Hassan
2018 A conf
Artefact: An R Implementation of the AutoSpearman Function.
ICSME
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
2018 J jnl
AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models.
CoRR
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
2018 A conf
AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models.
ICSME
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
2018 J jnl
Studying the dialogue between users and developers of free apps in the Google Play Store.
Empir. Softw. Eng.
Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan
2018 A* conf
Studying the dialogue between users and developers of free apps in the google play store.
ICSE
Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan
2018 J jnl
The Impact of Automated Parameter Optimization on Defect Prediction Models.
CoRR
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
2018 J jnl
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models.
CoRR
Chakkrit Tantithamthavorn, Ahmed E. Hassan, Kenichi Matsumoto
2018 J jnl
The Impact of Correlated Metrics on Defect Models.
CoRR
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan
2018 J jnl
The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization.
CoRR
Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto
2018 J jnl
The impact of IR-based classifier configuration on the performance and the effort of method-level bug localization.
Inf. Softw. Technol.
Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto
2017 J jnl
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models.
IEEE Trans. Software Eng.
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
2016 — conf
A Study of Redundant Metrics in Defect Prediction Datasets.
ISSRE Workshops
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Akinori Ihara, Kenichi Matsumoto
2016 A* conf
Automated parameter optimization of classification techniques for defect prediction models.
ICSE
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
2016 J jnl
Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction".
IEEE Trans. Software Eng.
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
2016 J jnl
Comments on "Researcher bias: The use of machine learning in software defect prediction".
PeerJ Prepr.
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
2016 — conf
Towards a better understanding of the impact of experimental components on defect prediction modelling.
ICSE (Companion Volume)
Chakkrit Tantithamthavorn
2015 J jnl
Comments on "Researcher bias: The use of machine learning in software defect prediction".
PeerJ Prepr.
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
2015 — conf
The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models.
ICSE (1)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Akinori Ihara, Ken-ichi Matsumoto
2015 A conf
Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review.
SANER
Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Raula Gaikovina Kula, Norihiro Yoshida, Hajimu Iida, Ken-ichi Matsumoto
2014 — conf
Impact Analysis of Granularity Levels on Feature Location Technique.
APRES
Chakkrit Tantithamthavorn, Akinori Ihara, Hideaki Hata, Kenichi Matsumoto
2013 — conf
Mining A change history to quickly identify bug locations : A case study of the Eclipse project.
ISSRE (Supplemental Proceedings)
Chakkrit Tantithamthavorn, Rattamont Teekavanich, Akinori Ihara, Ken-ichi Matsumoto
2013 C conf
Using Co-change Histories to Improve Bug Localization Performance.
SNPD
Chakkrit Tantithamthavorn, Akinori Ihara, Ken-ichi Matsumoto