default search action
Chaiyong Ragkhitwetsagul
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:50 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint