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ORCIDChaiyong Ragkhitwetsagul
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2020 – today
- 2024
[j8]Chaiyong Ragkhitwetsagul
, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro:
Adoption of automated software engineering tools and techniques in Thailand. Empir. Softw. Eng. 29(4): 90 (2024)- [c30]Thanaporn Sanamontre, Vasaka Visoottiviseth, Chaiyong Ragkhitwetsagul:
Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning. AINA (4) 2024: 238-251 - [c29]Denis Sousa, Matheus Paixão, Chaiyong Ragkhitwetsagul, Italo Uchoa:
Code Clone Configuration as a Multi-Objective Search Problem. ESEM 2024: 503-509 - [c28]Chaiyong Ragkhitwetsagul, Veerakit Prasertpol, Natanon Ritta, Paphon Sae-Wong, Thanapon Noraset, Morakot Choetkiertikul:
Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks. JCSSE 2024: 662-669 - [c27]Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Yoshiki Higo:
Autorepairability: A New Software Quality Characteristic. SANER 2024: 787-791 - [i16]Chaiyong Ragkhitwetsagul, Vipawan Jarukitpipat, Raula Gaikovina Kula, Morakot Choetkiertikul, Klinton Chhun, Wachirayana Wanprasert, Thanwadee Sunetnanta:
See to Believe: Using Visualization To Motivate Updating Third-party Dependencies. CoRR abs/2405.09074 (2024) - [i15]Chaiyong Ragkhitwetsagul, Veerakit Prasertpol, Natanon Ritta, Paphon Sae-Wong, Thanapon Noraset, Morakot Choetkiertikul:
Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks. CoRR abs/2405.09075 (2024) - [i14]Ruksit Rojpaisarnkit, Gregorio Robles, Raula Gaikovina Kula, Dong Wang, Chaiyong Ragkhitwetsagul, Jesús M. González-Barahona, Kenichi Matsumoto:
Towards Identifying Code Proficiency through the Analysis of Python Textbooks. CoRR abs/2408.02262 (2024) - [i13]Chaiyong Ragkhitwetsagul, Komsan Kongwongsupak, Thanakrit Maneesawas, Natpichsinee Puttiwarodom, Ruksit Rojpaisarnkit, Morakot Choetkiertikul, Raula Gaikovina Kula, Thanwadee Sunetnanta:
jscefr: A Framework to Evaluate the Code Proficiency for JavaScript. CoRR abs/2408.16452 (2024) - 2023
- [j7]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A taxonomy for mining and classifying privacy requirements in issue reports. Inf. Softw. Technol. 157: 107162 (2023) - [j6]Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra, Chaiyong Ragkhitwetsagul, Rungroj Maipradit, Hideaki Hata, Thanwadee Sunetnanta, Kenichi Matsumoto:
Studying the association between Gitcoin's issues and resolving outcomes. J. Syst. Softw. 206: 111835 (2023) - [c26]Pattarakrit Rattanukul, Chansida Makaranond, Pumipat Watanakulcharus, Chaiyong Ragkhitwetsagul, Tanapol Nearunchorn, Vasaka Visoottiviseth, Morakot Choetkiertikul, Thanwadee Sunetnanta:
Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems. ICPC 2023: 74-78 - [i12]Pattarakrit Rattanukul, Chansida Makaranond, Pumipat Watanakulcharus, Chaiyong Ragkhitwetsagul, Tanapol Nearunchorn, Vasaka Visoottiviseth, Morakot Choetkiertikul, Thanwadee Sunetnanta:
Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems. CoRR abs/2302.11150 (2023) - [i11]Morakot Choetkiertikul, Apirak Hoonlor, Chaiyong Ragkhitwetsagul, Siripen Pongpaichet, Thanwadee Sunetnanta, Tasha Settewong, Vacharavich Jiravatvanich, Urisayar Kaewpichai:
Mining the Characteristics of Jupyter Notebooks in Data Science Projects. CoRR abs/2304.05325 (2023) - [i10]Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra, Chaiyong Ragkhitwetsagul, Rungroj Maipradit, Hideaki Hata, Thanwadee Sunetnanta, Kenichi Matsumoto:
Studying the association between Gitcoin's issues and resolving outcomes. CoRR abs/2309.15017 (2023) - 2022
- [c25]Natanon Ritta, Tasha Settewong, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Kenichi Matsumoto:
Reusing My Own Code: Preliminary Results for Competitive Coding in Jupyter Notebooks. APSEC 2022: 457-461 - [c24]Tasha Settewong, Natanon Ritta, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Kenichi Matsumoto:
Why Visualize Data When Coding? Preliminary Categories for Coding in Jupyter Notebooks. APSEC 2022: 462-466 - [c23]Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Apirak Hoonlor, Mores Prachyabrued:
Virtual Reality for Software Engineering Presentations. APSEC 2022: 507-516 - [c22]Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Tattiya Sakulniwat, Kenichi Matsumoto, Jesús M. González-Barahona:
pycefr: Python competency level through code analysis. ICPC 2022: 173-177 - [c21]Jens Krinke, Chaiyong Ragkhitwetsagul:
BigCloneBench Considered Harmful for Machine Learning. IWSC 2022: 1-7 - [c20]Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideki Hata, Kenichi Matsumoto:
A component recommendation model for issues in software projects. JCSSE 2022: 1-6 - [c19]Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Raula Gaikovina Kula, Bodin Chinthanet, Takashi Ishio, Kenichi Matsumoto:
V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities. ASE 2022: 169:1-169:4 - [c18]Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro:
Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand. SANER 2022: 218-222 - [i9]Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Tattiya Sakulniwat, Kenichi Matsumoto, Jesús M. González-Barahona:
pycefr: Python Competency Level through Code Analysis. CoRR abs/2203.15990 (2022) - [i8]Chaiyong Ragkhitwetsagul, Matheus Paixão:
Recommending Code Improvements Based on Stack Overflow Answer Edits. CoRR abs/2204.06773 (2022) - [i7]Hong Jin Kang, Pattarakrit Rattanukul, Stefanus Agus Haryono, Truong Giang Nguyen, Chaiyong Ragkhitwetsagul, Corina S. Pasareanu, David Lo:
SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries. CoRR abs/2212.04038 (2022) - 2021
- [j5]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j4]Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto:
Toxic Code Snippets on Stack Overflow. IEEE Trans. Software Eng. 47(3): 560-581 (2021) - [j3]Matheus Paixão, Jens Krinke, DongGyun Han, Chaiyong Ragkhitwetsagul, Mark Harman:
The Impact of Code Review on Architectural Changes. IEEE Trans. Software Eng. 47(5): 1041-1059 (2021) - [c17]Robert White, Jens Krinke, Earl T. Barr, Federica Sarro, Chaiyong Ragkhitwetsagul:
Artefact Relation Graphs for Unit Test Reuse Recommendation. ICST 2021: 137-147 - [c16]Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto:
FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. ASE 2021: 1257-1261 - [p1]Jens Krinke, Chaiyong Ragkhitwetsagul:
Code Similarity in Clone Detection. Code Clone Analysis 2021: 135-150 - [i6]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. CoRR abs/2101.01298 (2021) - [i5]Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto:
FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. CoRR abs/2109.02878 (2021) - [i4]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. CoRR abs/2112.13994 (2021) - 2020
- [c15]Purit Phan-Udom, Naruedon Wattanakul, Tattiya Sakulniwat, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Morakot Choetkiertikul, Raula Gaikovina Kula:
Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects. ICSME 2020: 806-809 - [c14]Chaiyakarn Khanan, Worawit Luewichana, Krissakorn Pruktharathikoon, Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta:
JITBot: An Explainable Just-In-Time Defect Prediction Bot. ASE 2020: 1336-1339 - [c13]DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa:
Does code review really remove coding convention violations? SCAM 2020: 43-53 - [i3]Purit Phan-Udom, Naruedon Wattanakul, Tattiya Sakulniwat, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Morakot Choetkiertikul, Raula Gaikovina Kula:
Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects. CoRR abs/2009.03302 (2020)
2010 – 2019
- 2019
- [j2]Chaiyong Ragkhitwetsagul, Jens Krinke:
Siamese: scalable and incremental code clone search via multiple code representations. Empir. Softw. Eng. 24(4): 2236-2284 (2019) - [c12]Supatsara Wattanakriengkrai, Napat Srisermphoak, Sahawat Sintoplertchaikul, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Hideaki Hata, Kenichi Matsumoto:
Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF. APSEC 2019: 316-322 - [c11]Thanadon Bunkerd, Dong Wang, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Takashi Ishio, Kenichi Matsumoto:
How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects. IWESEP 2019: 7-12 - [c10]Noppadol Assavakamhaenghan, Morakot Choetkiertikul, Suppawong Tuarob, Raula Gaikovina Kula, Hideaki Hata, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Kenichi Matsumoto:
Software Team Member Configurations: A Study of Team Effectiveness in Moodle. IWESEP 2019: 19-24 - [c9]Vara Arammongkolvichai, Rainer Koschke, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta:
Improving Clone Detection Precision Using Machine Learning Techniques. IWESEP 2019: 31-36 - [c8]Tattiya Sakulniwat, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Dong Wang, Takashi Ishio, Kenichi Matsumoto:
Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom. IWESEP 2019: 43-48 - 2018
- [b1]Chaiyong Ragkhitwetsagul:
Code similarity and clone search in large-scale source code data. University College London, UK, 2018 - [j1]Chaiyong Ragkhitwetsagul, Jens Krinke, David Clark:
A comparison of code similarity analysers. Empir. Softw. Eng. 23(4): 2464-2519 (2018) - [c7]Chaiyong Ragkhitwetsagul, Jens Krinke, Bruno Marnette:
A picture is worth a thousand words: Code clone detection based on image similarity. IWSC 2018: 44-50 - [c6]John Wilkie, Ziad Al Halabi, Alperen Karaoglu, Jiafeng Liao, George Ndungu, Chaiyong Ragkhitwetsagul, Matheus Paixão, Jens Krinke:
Who's this?: developer identification using IDE event data. MSR 2018: 90-93 - [i2]Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto:
Toxic Code Snippets on Stack Overflow. CoRR abs/1806.07659 (2018) - [i1]Chaiyong Ragkhitwetsagul, Jens Krinke, Rocco Oliveto:
Awareness and Experience of Developers to Outdated and License-Violating Code on Stack Overflow: An Online Survey. CoRR abs/1806.08149 (2018) - 2017
- [c5]Chaiyong Ragkhitwetsagul, Jens Krinke:
Using compilation/decompilation to enhance clone detection. IWSC 2017: 8-14 - [c4]Matheus Paixão, Jens Krinke, DongGyun Han, Chaiyong Ragkhitwetsagul, Mark Harman:
Are developers aware of the architectural impact of their changes? ASE 2017: 95-105 - 2016
- [c3]Chaiyong Ragkhitwetsagul:
Measuring Code Similarity in Large-Scaled Code Corpora. ICSME 2016: 626-630 - [c2]Chaiyong Ragkhitwetsagul, Jens Krinke, David Clark:
Similarity of Source Code in the Presence of Pervasive Modifications. SCAM 2016: 117-126 - [c1]Chaiyong Ragkhitwetsagul, Matheus Paixão, Manal T. Adham, Saheed A. Busari, Jens Krinke, John H. Drake:
Searching for Configurations in Clone Evaluation - A Replication Study. SSBSE 2016: 250-256
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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