Chaiyong Ragkhitwetsagul

According to our database, Chaiyong Ragkhitwetsagul authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

2024

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

Thanaporn Sanamontre, Vasaka Visoottiviseth, Chaiyong Ragkhitwetsagul

Proceedings of the Advanced Information Networking and Applications, 2024

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., December, 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., May, 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

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

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

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

CoRR, 2022

Recommending Code Improvements Based on Stack Overflow Answer Edits.

Chaiyong Ragkhitwetsagul, Matheus Paixão

CoRR, 2022

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

Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro

Proceedings of the IEEE International Conference on Software Analysis, 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

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

A component recommendation model for issues in software projects.

Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideki Hata, Kenichi Matsumoto

Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022

BigCloneBench Considered Harmful for Machine Learning.

Jens Krinke, Chaiyong Ragkhitwetsagul

Proceedings of the 16th IEEE International Workshop on Software Clones, 2022

pycefr: Python competency level through code analysis.

Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Tattiya Sakulniwat, Kenichi Matsumoto, Jesús M. González-Barahona

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 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

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 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

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

Virtual Reality for Software Engineering Presentations.

Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Apirak Hoonlor, Mores Prachyabrued

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021

Toxic Code Snippets on Stack Overflow.

Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto

IEEE Trans. Software 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

Automatically recommending components for issue reports using deep learning.

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose

Empir. Softw. Eng., 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

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

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

Artefact Relation Graphs for Unit Test Reuse Recommendation.

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

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

Code Similarity in Clone Detection.

Jens Krinke, Chaiyong Ragkhitwetsagul

Proceedings of the Code Clone Analysis, 2021

2020

Does code review really remove coding convention violations?

DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 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

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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

Siamese: scalable and incremental code clone search via multiple code representations.

Chaiyong Ragkhitwetsagul, Jens Krinke

Empir. Softw. Eng., 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, Takashi Ishio, Kenichi Matsumoto

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

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

Thanadon Bunkerd, Dong Wang, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Takashi Ishio, Kenichi Matsumoto

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 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

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

Improving Clone Detection Precision Using Machine Learning Techniques.

Vara Arammongkolvichai, Rainer Koschke, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

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

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

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

Chaiyong Ragkhitwetsagul

PhD thesis, 2018

A comparison of code similarity analysers.

Chaiyong Ragkhitwetsagul, Jens Krinke, David Clark

Empir. Softw. Eng., 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

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

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

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

Chaiyong Ragkhitwetsagul, Jens Krinke, Bruno Marnette

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

2017

Are developers aware of the architectural impact of their changes?

Matheus Paixão, Jens Krinke, DongGyun Han, Chaiyong Ragkhitwetsagul, Mark Harman

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Using compilation/decompilation to enhance clone detection.

Chaiyong Ragkhitwetsagul, Jens Krinke

Proceedings of the 11th IEEE International Workshop on Software Clones, 2017

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

Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016

Similarity of Source Code in the Presence of Pervasive Modifications.

Chaiyong Ragkhitwetsagul, Jens Krinke, David Clark

Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

Measuring Code Similarity in Large-Scaled Code Corpora.

Chaiyong Ragkhitwetsagul

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016