Research

Publications

My publications sorted chronologically in descending order.
You can also find them at: Google Scholar | Scopus

2025

An Exploratory Study on the Lifecycle of Code Clones during Code Review

Italo Uchoa, Denis Sousa, Matheus Paixão, Pedro Maia, Anderson Uchôa, Chaiyong Ragkhitwetsagul

Proceedings of the 39th Brazilian Symposium on Software Engineering (SBES 2025), Brazil

Preprint (coming soon)

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News

Prachnachai Meakpaiboonwattana, Warittha Tarntong, Thai Mekratanavorakul, Chaiyong Ragkhitwetsagul, Pattaraporn Sangaroonsilp, Raula Kula, Morakot Choetkiertikul, Kenichi Matsumoto and Thanwadee Sunetnanta

Proceedings of the 41st International Conference on Software Maintenance and Evolution (ICSME) 2025 - Research Track, 7-12 September 2025, Auckland, New Zealand

Preprint

Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review

In-on Wiratsin and Chaiyong Ragkhitwetsagul

IEEE Access, 2025

DOI

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning

Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai, and Thanwadee Sunetnanta

Proceedings of the 30th Annual International Conference on Natural Language & Information Systems (NLDB 2025), 4-6 July 2025, Kanazawa, Japan

Preprint DOI

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub

Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos, Brittany Reid, Raula Gaikovina Kula, Morakot Choetkiertikul, Chaiyong Rakhitwetsagul, Thanwadee Sunetnanta

Proceedings of the 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 4-7 March 2025, Montreal, Quebec, Canada

Preprint

2024

Sprint2Vec: a deep characterization of sprints in iterative software development

Choetkiertikul M., Banyongrakkul P., Ragkhitwetsagul C., Tuarob S., Dam H. K., and Sunetnanta T.

Transactions on Software Engineering, 2024. (To appear)

DOI

Challenges in Adopting LLaMA: An Empirical Study of Discussions on Stack Overflow

Deeprom R., Yang S., Higo Y., Choetkiertikul M. and Ragkhitwetsagul C.

Proceedings of the 12th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2024), 3 December 2024, Chongqing, China

Proceedings

DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History

Kazimoto D. M., Choetkiertikul M., Ragkhitwetsagul C., Sunetnanta T.

Proceedings of the 31st Asia-Pacific Software Engineering Conference (APSEC 2024) Early Research Achievement Track, 3-6 December 2024, Chongqing, China

Preprint

Autorepairability of ChatGPT and Gemini: A Comparative Study

Sriwilailak C., Higo Y., Lapvikai P., Ragkhitwetsagul C., Choetkiertikul M.

Proceedings of the 31st Asia-Pacific Software Engineering Conference (APSEC 2024) Early Research Achievement Track, 3-6 December 2024, Chongqing, China

Preprint

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript

Ragkhitwetsagul C., Kongwongsupak K., Maneesawas T., Puttiwarodom N., Rojpaisarnkit R., Choetkiertikul M., Kula R. G., Sunetnanta T.

Proceedings of the 40th International Conference on Software Maintenance and Evolution (ICSME '24) Tool Demo Track, 6-11 October 2024, Flagstaff, AZ, USA

Preprint

Code Clone Configuration as a Multi-Objective Search Problem

Sousa D., Paixao M., Ragkhitwetsagul C., and Uchoa I.

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '24) Emerging Results, Vision and Reflection Papers Track, 20-25 October 2024, Barcelona, Spain

DOI

Towards Identifying Code Proficiency through the Analysis of Python Textbooks

Rojpaisarnkit R., Robles G., Kula R. G., Wang D., Ragkhitwetsagul C., Gonzalez-Barahona J. M., Matsumoto K.

Proceedings of the 40th International Conference on Software Maintenance and Evolution (ICSME '24), 6-11 October 2024, Flagstaff, AZ, USA

Preprint

Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks

Ragkhitwetsagul C., Prasertpol V., Ritta N., Sae-Wong P., Noraset T. and Choetkiertikul M.

Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering (JCSSE '24), 19-22 June 2024, Phuket, Thailand

Preprint Presentation

See to Believe: Using Visualization To Motivate Updating Third-party Dependencies

Ragkhitwetsagul C., Jarukitpipat V., Kula R. G., Choetkiertikul M., Chhun K., Wanprasert W., Sunetnanta T.

Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering (JCSSE '24), 19-22 June 2024, Phuket, Thailand

Preprint Presentation

Adoption of Automated Software Engineering Tools and Techniques in Thailand

Ragkhitwetsagul C., Krinke J., Choetkiertikul M., Sunetnanta T., Sarro F.

Empirical Software Engineering, 2024

DOI (Open Access)

Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning

Sanamontre T., Visoottiviseth V., and Ragkhitwetsagul C.

Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA 2024), Volume IV, LNDECT 202, 17-19 April 2024, Kitakyushu, Japan

Preprint DOI

Autorepairability: A New Software Quality Characteristic

Lapvikai P., Ragkhitwetsagul C., Choetkiertikul M., Higo Y.

31st IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2024), Rovaniemi, Finland

Preprint

2023

Studying the association between Gitcoin's issues and resolving outcomes

Choetkiertikul M., Puengmongkolchaikit A., Chandra P., Ragkitwetsakul C., Maipradit R., Hata H., Sunetnanta T., Matsumoto K.

Journal of Systems and Software, 2023

DOI

Mining the Characteristics of Jupyter Notebooks in Data Science Projects

Choetkiertikul M., Hoonlor A., Ragkhitwetsagul C., Pongpaichet S., Sunetnanta T., Settewong T., Jiravatvanich V., Kaewpichai U., Kula R. G.

Proceedings of the Mining Software Repositories 2023 (MSR '23) - Registered Report, 15-16 May 2023, Melbourne, Australia

Preprint

Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems

Rattanukul, P., Chansida Makaranond, C., Pumipat Watanakulcharus, P., Ragkhitwetsagul, C., Nearunchorn†, T., Visoottiviseth, V., Choetkiertikul, M., Sunetnanta, T.

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension (ICPC '23), 15-16 May 2023, Melbourne, Australia

Preprint DOI

A taxonomy for mining and classifying privacy requirements in issue reports

Sangaroonsilp, P., Dam, H. K., Choetkiertikul, M., Ragkhitwetsagul, C., & Ghose, A.

Information and Software Technology, 157 (January), 2023

DOI (Open Access)

2022

Reusing My Own Code : Preliminary Results for Competitive Coding in Jupyter Notebooks

Ritta, N., & Settewong, T., Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K.

Proceedings of the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), 6-9 December 2022, Virtual Event

Preprint DOI

Why Visualize Data When Coding ? Preliminary Categories for Coding in Jupyter Notebooks

Settewong, T., Ritta, N., Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K.

Proceedings of the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), 6-9 December 2022, Virtual Event

Preprint DOI

Virtual Reality for Software Engineering Presentations

Ragkhitwetsagul, C., Choetkiertikul, M., Hoonlor, A., & Prachyabrued, M.

Proceedings of the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), 6-9 December 2022, Virtual Event -- Won the best paper award!

Preprint DOI Best Paper Award

BigCloneBench Considered Harmful for Machine Learning

Krinke J. and Ragkhitwetsagul C.

Proceedings of the 16th International Workshop on Software Clones (IWSC '22), 2 October 2022, Limassol, Cyprus - Won the Best Paper Award and Best Presentation Award!

Preprint DOI Best Paper People's Choice Award

V-Achilles : An Interactive Visualization of Transitive Security Vulnerabilities

Jarukitpipat, V., Chhun, K., Wanprasert, W., Choetkiertikul, M., Sunetnanta, T., Kula, R. G., Chinthanet, B., Ishio, T., & Matsumoto, K.

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE '22) - Tool Demonstration Track, 10-14 October 2022, Michigan, USA

Preprint DOI

A component recommendation model for issues in software projects

Kangwanwisit, P., Choetkiertikul, M., Ragkhitwetsagul, C., Sunetnanta, T., Maipradit, R., Hata, H., Matsumoto, K.

Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering (JCSSE '22), 22 - 25 June 2022, Bangkok, Thailand

DOI

Recommending Code Improvements Based on Stack Overflow Answer Edits

Ragkhitwetsagul C. and Paixao M.

Proceedings of the 19th International Conference on Mining Software Repositories (MSR '22') - Registered Report Track, 18-19 May 2022, Pittsburgh, PA, USA

Preprint

pycefr: Python Competency Level through Code Analysis

Robles G., Kula R. G., Ragkhitwetsagul C., Sakulniwat T., Matsumoto K., Gonzalez-Barahona J. M.

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension (ICPC '22) - Tool Demonstration Track, 16-17 May 2022, Pittsburgh, PA, USA

Preprint DOI

Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand

Ragkhitwetsagul C., Krinke J., Choetkiertikul M., Sunetnanta T., Sarro F.

Proceedings of the 29th International Conference on Software Analysis, Evolution, and Reengineering (SANER'22) - Industry Track, 15-18 March 2022, Honolulu, Hawaii

Preprint Slides Video DOI

2021

FixMe: A GitHub Bot for Detecting and Monitoring On-hold Self-Admitted Technical Debt

Phaithoon S., Wongnil S., Pussawong P., Choetkiertikul M., Rakhitwetsagul C., Sunetnanta T., Maipradit R., Hata H., Matsumoto K.

Proceedings of the International Conference on Automated Software Engineering (ASE) - Tool Demonstrations Track, 2021 (Virtual Event)

Preprint DOI

Code Similarity in Clone Detection (Book Chapter)

Krinke, J., & Ragkhitwetsagul, C.

In K. Inoue & C. K. Roy (Eds.), Code Clone Analysis (pp. 135–160), Springer, 2021

The Chapter The Book

Artefact Relation Graphs for Unit Test Reuse Recommendation

Robert White, Jens Krinke, Earl Barr, Federica Sarro, Chaiyong Ragkhitwetsagul

Proceedings of IEEE International Conference on Software Testing (ICST) 2021, Virtual Event

DOI

Automatically recommending components for issue reports using deep learning

Choetkiertikul, M., Dam, H.K., Tran, T. et al.

Empirical Software Engineering 26, 14 (2021)

DOI

2020

Does code review really remove coding convention violations?

D. Han, C. Ragkhitwetsagul, J. Krinke, M. Paixao, G. Rosa

Proceedings of 20th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 28 Sept.-2 Oct. 2020, Adelaide, Australia (Virtual Event)

Preprint DOI

Siamese: Scalable and Incremental Code Clone Search via Multiple Code Representations

C. Ragkhitwetsagul, J. Krinke

Empirical Software Engineering (EMSE), 2019 / ICSE 2020 (Journal-First)

Preprint DOI Website

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

C. Khanan, W. Luewichana, K. Pruktharathikoon, J. Jiarpakdee, C. Tantithamthavorn, M. Choetkiertikul, C. Ragkhitwetsagul, T. Sunetnanta

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE '20) - Tool Demo Track, September 21–25, 2020, Virtual Event, Australia

Website

Teddy: Automatic Recommendation of PythonicIdiom Usage For Pull-Based Software Project

P. Phan-udom, N. Wattanakul, T. Sakulniwat, C. Ragkhitwetsagul, T. Sunetnanta, M. Choetkiertikul, R.G. Kula

Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020) - Tool Demo Track (Won the Best Tool Demo Award!), September 21 - October 3, 2020, Adelaide, Australia

Preprint Award Certificate

2019

Software Team Member Configurations: A Study of Team Effectiveness in Moodle

N. Assavakamhaenghan, M. Choetkiertikul, S. Tuarob, R. G. Kula, H. Hata, C. Ragkhitwetsagul, T. Sunetnanta, and K. Matsumoto

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan

Preprint DOI

Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom

T. Sakulniwat, R. G. Kula, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta, D. Wang, T. Ishio and K. Matsumoto

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan

Preprint DOI

Improving Clone Detection Precision using Machine Learning Techniques

V. Arammongkolvichai, R. Koschke, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan

Preprint DOI

How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects

T. Bunkerd, D. Wang, R. G. Kula, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta, T. Ishio, and K. Matsumoto

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan

Preprint DOI

Automatic Classifying Self-Admitted Technical Debt Using N-gram IDF

S. Wattanakriengkrai, N. Srisermphoak, S. Sintoplertchaikul, M. Choetkiertikul, C. Ragkhitwetsagul, T. Sunetnanta, H. Hata and K. Matsumoto

Proceedings of the 26th Asia-Pacific Software Engineering Conference (APSEC 19), Putrajaya, Malaysia

Preprint DOI

The Impact of Code Review on Architectural Changes

M. Paixao, J. Krinke, D. Han, C. Ragkhitwetsagul, M. Harman

Transactions on Software Engineering (TSE), 2019

DOI

2018

Code similarity and clone search in large-scale source code data

C. Ragkhitwetsagul

PhD thesis, 2018

PhD thesis

Toxic Code Snippets on Stack Overflow

C. Ragkhitwetsagul, J. Krinke, M. Paixao, R. Oliveto, G. Bianco

Transactions on Software Engineering (TSE), 2018

Preprint DOI Website

Who's this? Developer identification using IDE event data

J. Wilkie, Z. Al Halabi, A. Karaoglu, J. Liao, G. Ndungu, C. Ragkhitwetsagul, M. Paixão, J. Krinke

Proceedings of the 15th International Conference on Mining Software Repositories -- Mining Challenge (MSR 2018), Gothenburg, Sweden, 2018

Preprint DOI

A picture is worth a thousand words: code clone detection based on image similarity

C. Ragkhitwetsagul, J. Krinke, B. Marnette

Proceedings of the 12th International Workshop on Software Clones, 2018, Campobasso, Italy

Preprint DOI

A comparison of code similarity analysers

C. Ragkhitwetsagul, J. Krinke, D. Clark

Empirical Software Engineering, vol. 23, no. 4, pp. 2464–2519, Aug. 2018

Preprint DOI

2017

Are Developers Aware of the Architectural Impact of Their Changes?

M. Paixao, J. Krinke, D. Han, C. Ragkhitwetsagul and M. Harman

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Illinois, USA

Preprint DOI

Using Compilation/Decompilation to Enhance Clone Detection

C. Ragkhitwetsagul, J. Krinke

Proceedings of the 11th International Workshop on Software Clones, 2017, Klagenfurt, Austria -- Won the People's Choice Award!

Preprint DOI SlideShare

2016

Similarity of Source Code in the Presence of Pervasive Modifications

C. Ragkhitwetsagul, J. Krinke, D. Clark

Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 2016, North Carolina, USA

Preprint DOI SlideShare

Measuring Code Similarity in Large-scaled Code Corpora

C. Ragkhitwetsagul

Proceedings of the 32nd International Conference on Software Maintenance and Evolution (ICSME): Doctoral Symposium, 2016, North Carolina, USA

Preprint DOI

Searching for Configurations in Clone Evaluation: A Replication Study

C. Ragkhitwetsagul, M. Paixao, M. Adham, S. Busari, J. Krinke, and J.H. Drake

Proceedings of the 8th International Symposium on Search-based Software Engineering (SSBSE): Challenge Track, 2016, North Carolina, USA

Preprint DOI SlideShare

Publications

2025

An Exploratory Study on the Lifecycle of Code Clones during Code Review

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News

Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub

2024

Sprint2Vec: a deep characterization of sprints in iterative software development

Challenges in Adopting LLaMA: An Empirical Study of Discussions on Stack Overflow

DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History

Autorepairability of ChatGPT and Gemini: A Comparative Study

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript

Code Clone Configuration as a Multi-Objective Search Problem

Towards Identifying Code Proficiency through the Analysis of Python Textbooks

Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks

See to Believe: Using Visualization To Motivate Updating Third-party Dependencies

Adoption of Automated Software Engineering Tools and Techniques in Thailand

Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning

Autorepairability: A New Software Quality Characteristic

2023

Studying the association between Gitcoin's issues and resolving outcomes

Mining the Characteristics of Jupyter Notebooks in Data Science Projects

Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems

A taxonomy for mining and classifying privacy requirements in issue reports

2022

Reusing My Own Code : Preliminary Results for Competitive Coding in Jupyter Notebooks

Why Visualize Data When Coding ? Preliminary Categories for Coding in Jupyter Notebooks

Virtual Reality for Software Engineering Presentations

BigCloneBench Considered Harmful for Machine Learning

V-Achilles : An Interactive Visualization of Transitive Security Vulnerabilities

A component recommendation model for issues in software projects

Recommending Code Improvements Based on Stack Overflow Answer Edits

pycefr: Python Competency Level through Code Analysis

Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand

2021

FixMe: A GitHub Bot for Detecting and Monitoring On-hold Self-Admitted Technical Debt

Code Similarity in Clone Detection (Book Chapter)

Artefact Relation Graphs for Unit Test Reuse Recommendation

Automatically recommending components for issue reports using deep learning

2020

Does code review really remove coding convention violations?

Siamese: Scalable and Incremental Code Clone Search via Multiple Code Representations

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

Teddy: Automatic Recommendation of PythonicIdiom Usage For Pull-Based Software Project

2019

Software Team Member Configurations: A Study of Team Effectiveness in Moodle

Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom

Improving Clone Detection Precision using Machine Learning Techniques

How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects

Automatic Classifying Self-Admitted Technical Debt Using N-gram IDF

The Impact of Code Review on Architectural Changes

2018

Code similarity and clone search in large-scale source code data

Toxic Code Snippets on Stack Overflow

Who's this? Developer identification using IDE event data

A picture is worth a thousand words: code clone detection based on image similarity

A comparison of code similarity analysers

2017

Are Developers Aware of the Architectural Impact of Their Changes?

Using Compilation/Decompilation to Enhance Clone Detection

2016

Similarity of Source Code in the Presence of Pervasive Modifications

Measuring Code Similarity in Large-scaled Code Corpora

Searching for Configurations in Clone Evaluation: A Replication Study

Academic Services

2021

2020

Research Interests

Coding Proficiency

Code Similarity

Software Engineering for Data Science (SE4DS)

Software Engineering Challenges in Thailand

Presentations

Using Compilation/Decompilation to Enhance Clone Detection

Similarity of Source Code in the Presence of Pervasive Modifications

Searching for Configurations in Clone Evaluation: A Replication Study