Morakot Choetkiertikul

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Privacy Requirements

Software Projects

Interactive Visual

Top Venues

Empir. Softw. Eng.

Publications

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 (2024)
Pisol Ruenin, Morakot Choetkiertikul, Akara Supratak, Suppawong Tuarob
TeReKG: A temporal collaborative knowledge graph framework for software team recommendation. Knowl. Based Syst. 289 (2024)
Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Yoshiki Higo
Autorepairability: A New Software Quality Characteristic. SANER (2024)
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) (2024)
Prahyat Puangjaktha, Morakot Choetkiertikul, Suppawong Tuarob
"Paper, Meet Code": A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories. IEEE Access 12 (2024)
Chaiyong Ragkhitwetsagul, Veerakit Prasertpol, Natanon Ritta, Paphon Sae-Wong, Thanapon Noraset, Morakot Choetkiertikul
Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks. CoRR (2024)
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 (2023)
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 (2023)
Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra, Chaiyong Ragkhitwetsakul, Rungroj Maipradit, Hideaki Hata, Thanwadee Sunetnanta, Kenichi Matsumoto
Studying the association between Gitcoin's issues and resolving outcomes. CoRR (2023)
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 (2023)
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)
Pattaraporn Sangaroonsilp, Morakot Choetkiertikul, Hoa Khanh Dam, Aditya Ghose
An empirical study of automated privacy requirements classification in issue reports. Autom. Softw. Eng. 30 (2) (2023)
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 (2023)
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)
Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro
Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand. SANER (2022)
Noppadol Assavakamhaenghan, Waralee Tanaphantaruk, Ponlakit Suwanworaboon, Morakot Choetkiertikul, Suppawong Tuarob
Quantifying effectiveness of team recommendation for collaborative software development. Autom. Softw. Eng. 29 (2) (2022)
Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Apirak Hoonlor, Mores Prachyabrued
Virtual Reality for Software Engineering Presentations. APSEC (2022)
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)
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)
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. CoRR (2021)
Suppawong Tuarob, Noppadol Assavakamhaenghan, Waralee Tanaphantaruk, Ponlakit Suwanworaboon, Saeed-Ul Hassan, Morakot Choetkiertikul
Automatic team recommendation for collaborative software development. Empir. Softw. Eng. 26 (4) (2021)
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 (2021)
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) (2021)
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. CoRR (2021)
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)
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 (2020)
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)
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)
Vara Arammongkolvichai, Rainer Koschke, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta
Improving Clone Detection Precision Using Machine Learning Techniques. IWESEP (2019)
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)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45 (7) (2019)
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)
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)
Supatsara Wattanakriengkrai, Rungroj Maipradit, Hideaki Hata, Morakot Choetkiertikul, Thanwadee Sunetnanta, Kenichi Matsumoto
Identifying Design and Requirement Self-Admitted Technical Debt Using N-gram IDF. IWESEP (2018)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) (2018)
Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose
Multi-Objective Iteration Planning in Agile Development. APSEC (2018)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44 (6) (2018)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22 (3) (2017)
Shien Wee Ng, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose
Predicting Issues for Resolving in the Next Release. ASSRI (2017)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
A deep learning model for estimating story points. CoRR (2016)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
Characterization and Prediction of Issue-Related Risks in Software Projects. MSR (2015)
Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose
Who Will Answer My Question on Stack Overflow? ASWEC (2015)
Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose
Threshold-based prediction of schedule overrun in software projects. ASWEC (2) (2015)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
Predicting Delays in Software Projects Using Networked Classification (T). ASE (2015)
Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose, Thanwadee Sunetnanta
A CMMI-Based Automated Risk Assessment Framework. APSEC (2) (2014)
Morakot Choetkiertikul, Thanwadee Sunetnanta
A Risk Assessment Model for Offshoring Using CMMI Quantitative Approach. ICSEA (2010)