Chaiyong Ragkhitwetsagul
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
10
Active years
2016–2026
Best venue rank
C
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICAART | NPC: Automated Tool for Detecting and Explaining ChatGPT-Generated Programs. | Pachanitha Saeheng, Napat Boongaree, Chutweeraya Sriwilailak, Chaiyong Ragkhitwetsagul, Teeradaj Racharak, Ekapol Chuangsuwanich |
| 2026 | MSR | OmniCCG: Agnostic Code Clone Genealogy Extractor. | Denis Sousa, Matheus Paixo, Thiago Lima, Adriely Silva, Italo Uchoa, Chaiyong Ragkhitwetsagul |
| 2026 | MSR | An Empirical Study of Code Clone Genealogies in Human-AI Collaborative Development. | Denis Sousa, Italo Uchoa, Matheus Paixo, Chaiyong Ragkhitwetsagul, Thiago Lima Matos |
| 2026 | MSR | Quantifying Competitive Relationships Among Open-Source Software Projects. | Yuki Takei, Toshiaki Aoki, Chaiyong Ragkhitwetsagul |
| 2026 | MSR | When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild. | Nanthit Temkulkiat, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Ruksit Rojpaisarnkit, Raula Gaikovina Kula |
| 2026 | MSR | A Study on Code Clone Lifecycles in Pull Requests Created by AI Agents. | Italo Uchoa, Denis Sousa, Henrique Chuvas, Matheus Paixo, Chaiyong Ragkhitwetsagul, Thiago Lima Matos |
| 2025 | APSEC | Natural Language Explanation in Code Clone Detection using LLM-based Post Hoc Explainer. | Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong, Akara Supratak |
| 2025 | APSEC | PromptOps: Automated Tool for Testing Trustworthiness of LLMs. | Chommakorn Sontesadisai, Chalisa Sae-Ngow, Jirateep Rudeerudchanawong, Lapatrada Dangsungnoen, Chaiyong Ragkhitwetsagul, Teeradaj Racharak, Thanwadee Sunetnanta |
| 2025 | APSEC | AILinkPreviewer: Enhancing Code Reviews with LLM-Powered Link Previews. | Panya Trakoolgerntong, Tao Xiao, Masanari Kondo, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Pattaraporn Sangaroonsilp, Yasutaka Kamei |
| 2025 | NLDB | Test It Before You Trust It: Applying Software Testing for Trustworthy In-Context Learning. | Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai, Thanwadee Sunetnanta |
| 2025 | SANER | 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 |
| 2024 | AINA | Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning. | Thanaporn Sanamontre, Vasaka Visoottiviseth, Chaiyong Ragkhitwetsagul |
| 2024 | APSEC | Challenges in Adopting LLaMA: An Empirical Study of Discussions on Stack Overflow. | Ramita Deeprom, Shiyu Yang, Yoshiki Higo, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul |
| 2024 | APSEC | DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History. | Dan Muhindo Kazimoto, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta |
| 2024 | APSEC | Autorepairability of ChatGPT and Gemini: A Comparative Study. | Chutweeraya Sriwilailak, Yoshiki Higo, Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul |
| 2024 | ESEM | Code Clone Configuration as a Multi-Objective Search Problem. | Denis Sousa, Matheus Paixo, Chaiyong Ragkhitwetsagul, Italo Uchoa |
| 2022 | APSEC | Virtual Reality for Software Engineering Presentations. | Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Apirak Hoonlor, Mores Prachyabrued |
| 2022 | APSEC | 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 |
| 2022 | APSEC | 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 |
| 2021 | ICST | Artefact Relation Graphs for Unit Test Reuse Recommendation. | Robert White, Jens Krinke, Earl T. Barr, Federica Sarro, Chaiyong Ragkhitwetsagul |
| 2020 | SCAM | Does code review really remove coding convention violations? | DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixo, Giovanni Rosa |
| 2019 | APSEC | 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 |
| 2018 | MSR | Who's this?: developer identification using IDE event data. | John Wilkie, Ziad Al Halabi, Alperen Karaoglu, Jiafeng Liao, George Ndungu, Chaiyong Ragkhitwetsagul, Matheus Paixo, Jens Krinke |
| 2016 | SCAM | Similarity of Source Code in the Presence of Pervasive Modifications. | Chaiyong Ragkhitwetsagul, Jens Krinke, David Clark |
| 2016 | SSBSE | Searching for Configurations in Clone Evaluation - A Replication Study. | Chaiyong Ragkhitwetsagul, Matheus Paixo, Manal T. Adham, Saheed A. Busari, Jens Krinke, John H. Drake |