Measuring Code Similarity in Large-Scaled Code Corpora. - Chaiyong Ragkhitwetsagul (ICSME, 2016)

Similarity of Source Code in the Presence of Pervasive Modifications. - Chaiyong Ragkhitwetsagul; Jens Krinke; David Clark 001 (SCAM, 2016)

Searching for Configurations in Clone Evaluation - A Replication Study. - Chaiyong Ragkhitwetsagul; Matheus Paixão; Manal T. Adham; Saheed A. Busari; Jens Krinke; John H. Drake (SSBSE, 2016)

Using compilation/decompilation to enhance clone detection. - Chaiyong Ragkhitwetsagul; Jens Krinke (IWSC, 2017)

Are developers aware of the architectural impact of their changes? - Matheus Paixão; Jens Krinke; DongGyun Han; Chaiyong Ragkhitwetsagul; Mark Harman (ASE, 2017)

A picture is worth a thousand words: Code clone detection based on image similarity. - Chaiyong Ragkhitwetsagul; Jens Krinke; Bruno Marnette (IWSC, 2018)

Who's this?: developer identification using IDE event data. - John Wilkie; Ziad Al Halabi; Alperen Karaoglu; Jiafeng Liao; George Ndungu; Chaiyong Ragkhitwetsagul; Matheus Paixão; Jens Krinke (MSR, 2018)

Awareness and Experience of Developers to Outdated and License-Violating Code on Stack Overflow: An Online Survey. - Chaiyong Ragkhitwetsagul; Jens Krinke; Rocco Oliveto (CoRR, 2018)

A comparison of code similarity analysers. - Chaiyong Ragkhitwetsagul; Jens Krinke; David Clark 001 (Empir. Softw. Eng., 2018)

Code similarity and clone search in large-scale source code data. - Chaiyong Ragkhitwetsagul (2018)

Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF. - Supatsara Wattanakriengkrai; Napat Srisermphoak; Sahawat Sintoplertchaikul; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Hideaki Hata; Kenichi Matsumoto (APSEC, 2019)

Improving Clone Detection Precision Using Machine Learning Techniques. - Vara Arammongkolvichai; Rainer Koschke; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Thanwadee Sunetnanta (IWESEP, 2019)

Software Team Member Configurations: A Study of Team Effectiveness in Moodle. - Noppadol Assavakamhaenghan; Morakot Choetkiertikul; Suppawong Tuarob; Raula Gaikovina Kula; Hideaki Hata; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Kenichi Matsumoto (IWESEP, 2019)

How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects. - Thanadon Bunkerd; Dong Wang 044; Raula Gaikovina Kula; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Thanwadee Sunetnanta; Takashi Ishio; Kenichi Matsumoto (IWESEP, 2019)

Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom. - Tattiya Sakulniwat; Raula Gaikovina Kula; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Thanwadee Sunetnanta; Dong Wang 044; Takashi Ishio; Kenichi Matsumoto (IWESEP, 2019)

Siamese: scalable and incremental code clone search via multiple code representations. - Chaiyong Ragkhitwetsagul; Jens Krinke (Empir. Softw. Eng., 2019)

Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects. - Purit Phan-Udom; Naruedon Wattanakul; Tattiya Sakulniwat; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Morakot Choetkiertikul; Raula Gaikovina Kula (ICSME, 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 (ASE, 2020)

Does code review really remove coding convention violations? - DongGyun Han; Chaiyong Ragkhitwetsagul; Jens Krinke; Matheus Paixão; Giovanni Rosa (SCAM, 2020)

Code Similarity in Clone Detection. - Jens Krinke; Chaiyong Ragkhitwetsagul (Code Clone Analysis, 2021)

Artefact Relation Graphs for Unit Test Reuse Recommendation. - Robert White; Jens Krinke; Earl T. Barr; Federica Sarro; Chaiyong Ragkhitwetsagul (ICST, 2021)

FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. - Saranphon Phaithoon; Supakarn Wongnil; Patiphol Pussawong; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Rungroj Maipradit; Hideaki Hata; Kenichi Matsumoto (ASE, 2021)

Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. - Pattaraporn Sangaroonsilp; Hoa Khanh Dam; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Aditya Ghose (CoRR, 2021)

Automatically recommending components for issue reports using deep learning. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Chaiyong Ragkhitwetsagul; Aditya Ghose (Empir. Softw. Eng., 2021)

The Impact of Code Review on Architectural Changes. - Matheus Paixão; Jens Krinke; DongGyun Han; Chaiyong Ragkhitwetsagul; Mark Harman (IEEE Trans. Software Eng., 2021)

Toxic Code Snippets on Stack Overflow. - Chaiyong Ragkhitwetsagul; Jens Krinke; Matheus Paixão; Giuseppe Bianco; Rocco Oliveto (IEEE Trans. Software Eng., 2021)

Virtual Reality for Software Engineering Presentations. - Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Apirak Hoonlor; Mores Prachyabrued (APSEC, 2022)

Reusing My Own Code: Preliminary Results for Competitive Coding in Jupyter Notebooks. - Natanon Ritta; Tasha Settewong; Raula Gaikovina Kula; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Kenichi Matsumoto (APSEC, 2022)

Why Visualize Data When Coding? Preliminary Categories for Coding in Jupyter Notebooks. - Tasha Settewong; Natanon Ritta; Raula Gaikovina Kula; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Kenichi Matsumoto (APSEC, 2022)

pycefr: Python competency level through code analysis. - Gregorio Robles; Raula Gaikovina Kula; Chaiyong Ragkhitwetsagul; Tattiya Sakulniwat; Kenichi Matsumoto; Jesús M. González-Barahona (ICPC, 2022)

BigCloneBench Considered Harmful for Machine Learning. - Jens Krinke; Chaiyong Ragkhitwetsagul (IWSC, 2022)

A component recommendation model for issues in software projects. - Pacawat Kangwanwisit; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Rungroj Maipradit; Hideki Hata; Kenichi Matsumoto (JCSSE, 2022)

V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities. - Vipawan Jarukitpipat; Klinton Chhun; Wachirayana Wanprasert; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Thanwadee Sunetnanta; Raula Gaikovina Kula; Bodin Chinthanet; Takashi Ishio; Kenichi Matsumoto (ASE, 2022)

Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand. - Chaiyong Ragkhitwetsagul; Jens Krinke; Morakot Choetkiertikul; Thanwadee Sunetnanta; Federica Sarro (SANER, 2022)

Recommending Code Improvements Based on Stack Overflow Answer Edits. - Chaiyong Ragkhitwetsagul; Matheus Paixão (CoRR, 2022)

SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries. - Hong Jin Kang; Pattarakrit Rattanukul; Stefanus Agus Haryono; Truong Giang Nguyen; Chaiyong Ragkhitwetsagul; Corina S. Pasareanu; David Lo 001 (CoRR, 2022)

Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems. - Pattarakrit Rattanukul; Chansida Makaranond; Pumipat Watanakulcharus; Chaiyong Ragkhitwetsagul; Tanapol Nearunchorn; Vasaka Visoottiviseth; Morakot Choetkiertikul; Thanwadee Sunetnanta (ICPC, 2023)

Mining the Characteristics of Jupyter Notebooks in Data Science Projects. - Morakot Choetkiertikul; Apirak Hoonlor; Chaiyong Ragkhitwetsagul; Siripen Pongpaichet; Thanwadee Sunetnanta; Tasha Settewong; Vacharavich Jiravatvanich; Urisayar Kaewpichai (CoRR, 2023)

A taxonomy for mining and classifying privacy requirements in issue reports. - Pattaraporn Sangaroonsilp; Hoa Khanh Dam; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Aditya Ghose (Inf. Softw. Technol., 2023)

Studying the association between Gitcoin's issues and resolving outcomes. - Morakot Choetkiertikul; Arada Puengmongkolchaikit; Pandaree Chandra; Chaiyong Ragkhitwetsagul; Rungroj Maipradit; Hideaki Hata; Thanwadee Sunetnanta; Kenichi Matsumoto (J. Syst. Softw., 2023)

Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning. - Thanaporn Sanamontre; Vasaka Visoottiviseth; Chaiyong Ragkhitwetsagul (AINA (4), 2024)

Challenges in Adopting LLaMA: An Empirical Study of Discussions on Stack Overflow. - Ramita Deeprom; Shiyu Yang; Yoshiki Higo; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul (QuASoQ@APSEC, 2024)

DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History. - Dan Muhindo Kazimoto; Morakot Choetkiertikul; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta (APSEC, 2024)

Autorepairability of ChatGPT and Gemini: A Comparative Study. - Chutweeraya Sriwilailak; Yoshiki Higo; Pongpop Lapvikai; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul (APSEC, 2024)

Code Clone Configuration as a Multi-Objective Search Problem. - Denis Sousa; Matheus Paixão; Chaiyong Ragkhitwetsagul; Italo Uchoa (ESEM, 2024)

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript. - Chaiyong Ragkhitwetsagul; Komsan Kongwongsupak; Thanakrit Maneesawas; Natpichsinee Puttiwarodom; Ruksit Rojpaisarnkit; Morakot Choetkiertikul; Raula Gaikovina Kula; Thanwadee Sunetnanta (ICSME, 2024)

Towards Identifying Code Proficiency Through the Analysis of Python Textbooks. - Ruksit Rojpaisarnkit; Gregorio Robles; Raula Gaikovina Kula; Dong Wang 044; Chaiyong Ragkhitwetsagul; Jesús M. González-Barahona; Kenichi Matsumoto (ICSME, 2024)

Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks. - Chaiyong Ragkhitwetsagul; Veerakit Prasertpol; Natanon Ritta; Paphon Sae-Wong; Thanapon Noraset; Morakot Choetkiertikul (JCSSE, 2024)

Autorepairability: A New Software Quality Characteristic. - Pongpop Lapvikai; Chaiyong Ragkhitwetsagul; Morakot Choetkiertikul; Yoshiki Higo (SANER, 2024)

See to Believe: Using Visualization To Motivate Updating Third-party Dependencies. - Chaiyong Ragkhitwetsagul; Vipawan Jarukitpipat; Raula Gaikovina Kula; Morakot Choetkiertikul; Klinton Chhun; Wachirayana Wanprasert; Thanwadee Sunetnanta (CoRR, 2024)

Adoption of automated software engineering tools and techniques in Thailand. - Chaiyong Ragkhitwetsagul; Jens Krinke; Morakot Choetkiertikul; Thanwadee Sunetnanta; Federica Sarro (Empir. Softw. Eng., 2024)

Test It Before You Trust It: Applying Software Testing for Trustworthy In-Context Learning. - Teeradaj Racharak; Chaiyong Ragkhitwetsagul; Chommakorn Sontesadisai; Thanwadee Sunetnanta (NLDB (1), 2025)

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 Ragkhitwetsagul; Thanwadee Sunetnanta (SANER, 2025)

Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review. - In-On Wiratsin; Chaiyong Ragkhitwetsagul (IEEE Access, 2025)

Sprint2Vec: A Deep Characterization of Sprints in Iterative Software Development. - Morakot Choetkiertikul; Peerachai Banyongrakkul; Chaiyong Ragkhitwetsagul; Suppawong Tuarob; Hoa Khanh Dam; Thanwadee Sunetnanta (IEEE Trans. Software Eng., 2025)

How the Misuse of a Dataset Harmed Semantic Clone Detection. - Jens Krinke; Chaiyong Ragkhitwetsagul (CoRR, 2025)

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 Gaikovina Kula; Morakot Choetkiertikul; Kenichi Matsumoto; Thanwadee Sunetnanta (CoRR, 2025)