Chakkrit Tantithamthavorn

According to our database, Chakkrit Tantithamthavorn authored at least 78 papers between 2013 and 2024.

Collaborative distances:

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

2024

Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.

Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, Burak Turhan

ACM Trans. Softw. Eng. Methodol., March, 2024

Vision Transformer Inspired Automated Vulnerability Repair.

Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le

ACM Trans. Softw. Eng. Methodol., March, 2024

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.

Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy

Empir. Softw. Eng., February, 2024

Syntax-aware on-the-fly code completion.

Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li

Inf. Softw. Technol., January, 2024

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development.

Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan

CoRR, 2024

Enhancing Large Language Models for Text-to-Testcase Generation.

Saranya Alagarsamy, Chakkrit Tantithamthavorn, Chetan Arora, Aldeida Aleti

CoRR, 2024

Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian.

Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, Anton Krasikov

CoRR, 2024

GPT-3.5 for Code Review Automation: How Do Few-Shot Learning, Prompt Design, and Model Fine-Tuning Impact Their Performance?

Chanathip Pornprasit, Chakkrit Tantithamthavorn

CoRR, 2024

TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning.

Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li

CoRR, 2024

2023

VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types.

Michael Fu, Van Nguyen, Chakkrit Kla Tantithamthavorn, Trung Le, Dinh Q. Phung

IEEE Trans. Software Eng., October, 2023

GPT2SP: A Transformer-Based Agile Story Point Estimation Approach.

Michael Fu, Chakkrit Tantithamthavorn

IEEE Trans. Software Eng., February, 2023

DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction.

Chanathip Pornprasit, Chakkrit Kla Tantithamthavorn

IEEE Trans. Software Eng., January, 2023

Explainable AI for SE: Challenges and Future Directions.

Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, Satish Chandra

IEEE Softw., 2023

Augmented Agile: Human-Centered AI-Assisted Software Management.

Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey

IEEE Softw., 2023

Expert Perspectives on Explainability.

Jürgen Cito, Satish Chandra, Chakkrit Tantithamthavorn, Hadi Hemmati

IEEE Softw., 2023

Deep Learning for Android Malware Defenses: A Systematic Literature Review.

Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu

ACM Comput. Surv., 2023

Students' Perspective on AI Code Completion: Benefits and Challenges.

Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn

CoRR, 2023

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.

Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang

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

Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.

Michael Fu, Trung Le, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Q. Phung

CoRR, 2023

A3Test: Assertion-Augmented Automated Test Case Generation.

Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti

CoRR, 2023

On the Reliability and Explainability of Automated Code Generation Approaches.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li

CoRR, 2023

A Systematic Literature Review of Explainable AI for Software Engineering.

Ahmad Haji Mohammadkhani, Nitin Sai Bommi, Mariem Daboussi, Onkar Sabnis, Chakkrit Tantithamthavorn, Hadi Hemmati

CoRR, 2023

D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation.

Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Chunyang Chen

Proceedings of the IEEE International Conference on Software Analysis, 2023

Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work?

Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection.

Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, 2023

What Would You do? An Ethical AI Quiz.

Wei Teo, Ze Teoh, Dayang Abang Arabi, Morad Aboushadi, Khairenn Lai, Zhe Ng, Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Reachable Coverage: Estimating Saturation in Fuzzing.

Danushka Liyanage, Marcel Böhme, Chakkrit Tantithamthavorn, Stephan Lipp

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Unit Testing Challenges with Automated Marking.

Chakkrit Tantithamthavorn, Norman Chen

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?

Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Predicting Defective Lines Using a Model-Agnostic Technique.

Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto

IEEE Trans. Software Eng., 2022

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans.

Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine

IEEE Trans. Software Eng., 2022

The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models.

Dayi Lin, Chakkrit Tantithamthavorn, Ahmed E. Hassan

IEEE Trans. Software Eng., 2022

An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models.

Jirayus Jiarpakdee, Chakkrit Kla Tantithamthavorn, Hoa Khanh Dam, John C. Grundy

IEEE Trans. Software Eng., 2022

Search-based fairness testing for regression-based machine learning systems.

Anjana Perera, Aldeida Aleti, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Burak Turhan, Lisa Kuhn, Katie Walker

Empir. Softw. Eng., 2022

Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work?

Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati

CoRR, 2022

An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability.

Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Q. Phung

CoRR, 2022

Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle.

Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John C. Grundy, Hung Nguyen, Dinh Q. Phung

CoRR, 2022

AutoUpdate: Automatically Recommend Code Updates for Android Apps.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li

CoRR, 2022

Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines.

Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan

CoRR, 2022

Where Should I Look at? Recommending Lines that Reviewers Should Pay Attention To.

Yang Hong, Chakkrit Kla Tantithamthavorn, Patanamon Thongtanunam

Proceedings of the IEEE International Conference on Software Analysis, 2022

CommentFinder: a simpler, faster, more accurate code review comments recommendation.

Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

VulRepair: a T5-based automated software vulnerability repair.

Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, Dinh Q. Phung

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

LineVul: A Transformer-based Line-Level Vulnerability Prediction.

Michael Fu, Chakkrit Tantithamthavorn

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?

Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

AutoTransform: Automated Code Transformation to Support Modern Code Review Process.

Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

The Impact of Correlated Metrics on the Interpretation of Defect Models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan

IEEE Trans. Software Eng., 2021

Actionable Analytics: Stop Telling Me What It Is; Please Tell Me What To Do.

Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy

IEEE Softw., 2021

Software Engineering in Australasia.

Sherlock A. Licorish, Christoph Treude, John C. Grundy, Kelly Blincoe, Stephen G. MacDonell, Chakkrit Tantithamthavorn, Li Li, Jean-Guy Schneider

ACM SIGSOFT Softw. Eng. Notes, 2021

JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction.

Chanathip Pornprasit, Chakkrit Tantithamthavorn

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Explainable AI for Software Engineering.

Chakkrit Kla Tantithamthavorn, Jirayus Jiarpakdee

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

PyExplainer: Explaining the Predictions of Just-In-Time Defect Models.

Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Michael Fu, Patanamon Thongtanunam

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Assessing the Students' Understanding and their Mistakes in Code Review Checklists: An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students.

Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

2020

The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models.

Chakkrit Tantithamthavorn, Ahmed E. Hassan, Kenichi Matsumoto

IEEE Trans. Software Eng., 2020

The impact of automated feature selection techniques on the interpretation of defect models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

Empir. Softw. Eng., 2020

Explainable AI for Software Engineering.

Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John C. Grundy

CoRR, 2020

Workload-aware reviewer recommendation using a multi-objective search-based approach.

Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose

Proceedings of the PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, 2020

JITBot: An Explainable Just-In-Time Defect Prediction Bot.

Chaiyakarn Khanan, Worawit Luewichana, Krissakorn Pruktharathikoon, Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

The Impact of Automated Parameter Optimization on Defect Prediction Models.

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto

IEEE Trans. Software Eng., 2019

Mining software defects: should we consider affected releases?

Suraj Yatish, Jirayus Jiarpakdee, Patanamon Thongtanunam, Chakkrit Tantithamthavorn

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

The impact of IR-based classifier configuration on the performance and the effort of method-level bug localization.

Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto

Inf. Softw. Technol., 2018

Studying the dialogue between users and developers of free apps in the Google Play Store.

Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan

Empir. Softw. Eng., 2018

AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

CoRR, 2018

The Impact of Correlated Metrics on Defect Models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan

CoRR, 2018

Artefact: An R Implementation of the AutoSpearman Function.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

An experience report on defect modelling in practice: pitfalls and challenges.

Chakkrit Tantithamthavorn, Ahmed E. Hassan

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

2017

An Empirical Comparison of Model Validation Techniques for Defect Prediction Models.

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto

IEEE Trans. Software Eng., 2017

2016

Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction".

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto

IEEE Trans. Software Eng., 2016

A Study of Redundant Metrics in Defect Prediction Datasets.

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Akinori Ihara, Kenichi Matsumoto

Proceedings of the 2016 IEEE International Symposium on Software Reliability Engineering Workshops, 2016

Towards a better understanding of the impact of experimental components on defect prediction modelling.

Chakkrit Tantithamthavorn

Proceedings of the 38th International Conference on Software Engineering, 2016

Automated parameter optimization of classification techniques for defect prediction models.

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review.

Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Raula Gaikovina Kula, Norihiro Yoshida, Hajimu Iida, Ken-ichi Matsumoto

Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models.

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Akinori Ihara, Ken-ichi Matsumoto

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Impact Analysis of Granularity Levels on Feature Location Technique.

Chakkrit Tantithamthavorn, Akinori Ihara, Hideaki Hata, Kenichi Matsumoto

Proceedings of the Requirements Engineering, 2014

2013

Using Co-change Histories to Improve Bug Localization Performance.

Chakkrit Tantithamthavorn, Akinori Ihara, Ken-ichi Matsumoto

Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

Mining A change history to quickly identify bug locations : A case study of the Eclipse project.

Chakkrit Tantithamthavorn, Rattamont Teekavanich, Akinori Ihara, Ken-ichi Matsumoto

Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013