Chakkrit Tantithamthavorn

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 97

Top Venues

CoRR

IEEE Trans. Software Eng.

ICSE

Empir. Softw. Eng.

Publications

Aastha Pant, Rashina Hoda, Burak Turhan, Chakkrit Tantithamthavorn
What do AI/ML practitioners think about AI/ML bias? CoRR (2024)
Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, Anton Krasikov
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian. SIGSOFT FSE Companion (2024)
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
Ethics in AI through the practitioner's view: a grounded theory literature review. Empir. Softw. Eng. 29 (3) (2024)
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Chetan Arora, Aldeida Aleti
Enhancing Large Language Models for Text-to-Testcase Generation. CoRR (2024)
Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le
Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, Anton Krasikov
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian. CoRR (2024)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Dinh Q. Phung
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
On the Reliability and Explainability of Language Models for Program Generation. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Chanathip Pornprasit, Chakkrit Tantithamthavorn
Fine-tuning and prompt engineering for large language models-based code review automation. Inf. Softw. Technol. 175 (2024)
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li
Syntax-aware on-the-fly code completion. Inf. Softw. Technol. 165 (2024)
Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Böhme
Extrapolating Coverage Rate in Greybox Fuzzing. ICSE (2024)
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development. CoRR (2024)
Michael Fu, Jirat Pasuksmit, Chakkrit Tantithamthavorn
AI for DevSecOps: A Landscape and Future Opportunities. CoRR (2024)
Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li
TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning. CoRR (2024)
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Chanathip Pornprasit, Chakkrit Tantithamthavorn
GPT-3.5 for Code Review Automation: How Do Few-Shot Learning, Prompt Design, and Model Fine-Tuning Impact Their Performance? CoRR (2024)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities. Empir. Softw. Eng. 29 (1) (2024)
Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, Burak Turhan
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
On the Reliability and Explainability of Automated Code Generation Approaches. CoRR (2023)
Danushka Liyanage, Marcel Böhme, Chakkrit Tantithamthavorn, Stephan Lipp
Reachable Coverage: Estimating Saturation in Fuzzing. ICSE (2023)
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. CoRR (2023)
Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati
Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? SCAM (2023)
Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn
Students' Perspective on AI Code Completion: Benefits and Challenges. CoRR (2023)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John C. Grundy
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities. CoRR (2023)
Michael Fu, Chakkrit Tantithamthavorn
GPT2SP: A Transformer-Based Agile Story Point Estimation Approach. IEEE Trans. Software Eng. 49 (2) (2023)
Chakkrit Tantithamthavorn, Norman Chen
Unit Testing Challenges with Automated Marking. CoRR (2023)
Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities. CoRR (2023)
Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey. CoRR (2023)
Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, Burak Turhan
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges. CoRR (2023)
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti
A3Test: Assertion-Augmented Automated Test Case Generation. CoRR (2023)
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Chunyang Chen
D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation. SANER (2023)
Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li
Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection. ASEW (2023)
Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, Satish Chandra
Explainable AI for SE: Challenges and Future Directions. IEEE Softw. 40 (3) (2023)
Michael Fu, Chakkrit Tantithamthavorn, Van Nguyen, Trung Le
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? CoRR (2023)
Ahmad Haji Mohammadkhani, Nitin Sai Bommi, Mariem Daboussi, Onkar Sabnis, Chakkrit Tantithamthavorn, Hadi Hemmati
A Systematic Literature Review of Explainable AI for Software Engineering. CoRR (2023)
Wei Teo, Ze Teoh, Dayang Abang Arabi, Morad Aboushadi, Khairenn Lai, Zhe Ng, Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
What Would You do? An Ethical AI Quiz. ICSE Companion (2023)
Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey
Augmented Agile: Human-Centered AI-Assisted Software Management. IEEE Softw. 40 (4) (2023)
Jürgen Cito, Satish Chandra, Chakkrit Tantithamthavorn, Hadi Hemmati
Expert Perspectives on Explainability. IEEE Softw. 40 (3) (2023)
Chakkrit Tantithamthavorn, Norman Chen
Unit Testing Challenges with Automated Marking. APSEC (2023)
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
Deep Learning for Android Malware Defenses: A Systematic Literature Review. ACM Comput. Surv. 55 (8) (2023)
Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn
AutoTransform: Automated Code Transformation to Support Modern Code Review Process. ICSE (2022)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle. CoRR (2022)
Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung
VulRepair: a T5-based automated software vulnerability repair. ESEC/SIGSOFT FSE (2022)
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti
CommentFinder: a simpler, faster, more accurate code review comments recommendation. ESEC/SIGSOFT FSE (2022)
Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati
Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work? CoRR (2022)
Michael Fu, Chakkrit Tantithamthavorn
LineVul: A Transformer-based Line-Level Vulnerability Prediction. MSR (2022)
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability. CoRR (2022)
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? CoRR (2022)
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li
Syntax-Aware On-the-Fly Code Completion. CoRR (2022)
Dayi Lin, Chakkrit Tantithamthavorn, Ahmed E. Hassan
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models. IEEE Trans. Software Eng. 48 (8) (2022)
Anjana Perera, Aldeida Aleti, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Burak Turhan, Lisa Kuhn, Katie Walker
Search-based fairness testing for regression-based machine learning systems. Empir. Softw. Eng. 27 (3) (2022)
Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto
Predicting Defective Lines Using a Model-Agnostic Technique. IEEE Trans. Software Eng. 48 (5) (2022)
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines. CoRR (2022)
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. 48 (8) (2022)
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? ISSRE (2022)
Sherlock A. Licorish, Christoph Treude, John C. Grundy, Chakkrit Tantithamthavorn, Kelly Blincoe, Stephen G. MacDonell, Li Li, Jean-Guy Schneider
Software Engineering in Australasia. CoRR (2022)
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li
AutoUpdate: Automatically Recommend Code Updates for Android Apps. CoRR (2022)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models. CoRR (2021)
Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
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) (2021)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan
The Impact of Correlated Metrics on the Interpretation of Defect Models. IEEE Trans. Software Eng. 47 (2) (2021)
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR (2021)
Sherlock A. Licorish, Christoph Treude, John C. Grundy, Kelly Blincoe, Stephen G. MacDonell, Chakkrit Tantithamthavorn, Li Li, Jean-Guy Schneider
Software Engineering in Australasia. ACM SIGSOFT Softw. Eng. Notes 46 (2) (2021)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models. MSR (2021)
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Michael Fu, Patanamon Thongtanunam
PyExplainer: Explaining the Predictions of Just-In-Time Defect Models. ASE (2021)
Chanathip Pornprasit, Chakkrit Tantithamthavorn
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction. MSR (2021)
Chanathip Pornprasit, Chakkrit Tantithamthavorn
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction. CoRR (2021)
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
Deep Learning for Android Malware Defenses: a Systematic Literature Review. CoRR (2021)
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
Actionable Analytics: Stop Telling Me What It Is; Please Tell Me What To Do. IEEE Softw. 38 (4) (2021)
Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
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 (2021)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
The impact of automated feature selection techniques on the interpretation of defect models. Empir. Softw. Eng. 25 (5) (2020)
Chaiyakarn Khanan, Worawit Luewichana, Krissakorn Pruktharathikoon, Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta
JITBot: An Explainable Just-In-Time Defect Prediction Bot. ASE (2020)
Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto
Predicting Defective Lines Using a Model-Agnostic Technique. CoRR (2020)
Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose
Workload-aware reviewer recommendation using a multi-objective search-based approach. PROMISE (2020)
Chakkrit Tantithamthavorn, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models. IEEE Trans. Software Eng. 46 (11) (2020)
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John C. Grundy
Explainable AI for Software Engineering. CoRR (2020)
Suraj Yatish, Jirayus Jiarpakdee, Patanamon Thongtanunam, Chakkrit Tantithamthavorn
Mining software defects: should we consider affected releases? ICSE (2019)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Automated Parameter Optimization on Defect Prediction Models. IEEE Trans. Software Eng. 45 (7) (2019)
Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto
The impact of IR-based classifier configuration on the performance and the effort of method-level bug localization. Inf. Softw. Technol. 102 (2018)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
Artefact: An R Implementation of the AutoSpearman Function. ICSME (2018)
Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto
The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization. CoRR (2018)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models. ICSME (2018)
Chakkrit Tantithamthavorn, Ahmed E. Hassan
An experience report on defect modelling in practice: pitfalls and challenges. ICSE (SEIP) (2018)
Chakkrit Tantithamthavorn, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models. CoRR (2018)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
The Impact of Automated Parameter Optimization on Defect Prediction Models. CoRR (2018)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan
The Impact of Correlated Metrics on Defect Models. CoRR (2018)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models. CoRR (2018)
Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan
Studying the dialogue between users and developers of free apps in the Google Play Store. Empir. Softw. Eng. 23 (3) (2018)
Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan
Studying the dialogue between users and developers of free apps in the google play store. ICSE (2018)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models. IEEE Trans. Software Eng. 43 (1) (2017)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
Comments on "Researcher bias: The use of machine learning in software defect prediction". PeerJ Prepr. 4 (2016)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction". IEEE Trans. Software Eng. 42 (11) (2016)
Chakkrit Tantithamthavorn
Towards a better understanding of the impact of experimental components on defect prediction modelling. ICSE (Companion Volume) (2016)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
Automated parameter optimization of classification techniques for defect prediction models. ICSE (2016)
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Akinori Ihara, Kenichi Matsumoto
A Study of Redundant Metrics in Defect Prediction Datasets. ISSRE Workshops (2016)
Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Raula Gaikovina Kula, Norihiro Yoshida, Hajimu Iida, Ken-ichi Matsumoto
Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review. SANER (2015)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Ken-ichi Matsumoto
Comments on "Researcher bias: The use of machine learning in software defect prediction". PeerJ Prepr. 3 (2015)
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Akinori Ihara, Ken-ichi Matsumoto
The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models. ICSE (1) (2015)
Chakkrit Tantithamthavorn, Akinori Ihara, Hideaki Hata, Kenichi Matsumoto
Impact Analysis of Granularity Levels on Feature Location Technique. APRES (2014)
Chakkrit Tantithamthavorn, Rattamont Teekavanich, Akinori Ihara, Ken-ichi Matsumoto
Mining A change history to quickly identify bug locations : A case study of the Eclipse project. ISSRE (Supplemental Proceedings) (2013)
Chakkrit Tantithamthavorn, Akinori Ihara, Ken-ichi Matsumoto
Using Co-change Histories to Improve Bug Localization Performance. SNPD (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chakkrit Tantithamthavorn