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Morakot Choetkiertikul
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2020 – today
- 2024
- [j12]Prahyat Puangjaktha
, Morakot Choetkiertikul, Suppawong Tuarob
"Paper, Meet Code": A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories. IEEE Access 12: 68410-68426 (2024) - [j11]Chaiyong Ragkhitwetsagul
Adoption of automated software engineering tools and techniques in Thailand. Empir. Softw. Eng. 29(4): 90 (2024) - [j10]Pisol Ruenin, Morakot Choetkiertikul, Akara Supratak
TeReKG: A temporal collaborative knowledge graph framework for software team recommendation. Knowl. Based Syst. 289: 111492 (2024) - [c26]Haiyong Ragkhit Etsagul, Ipa An Jarukitpipat, Raula Gaikovina Kula, Morakot Choetkiertikul, Klinton Chhun, Wachirayana Wanprasert, Thanwadee Sunetnanta:
See to Believe: Using Visualization to Motivate Updating Third-Party Dependencies. JCSSE 2024: 618-625 - [c25]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 - [c24]Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Yoshiki Higo:
Autorepairability: A New Software Quality Characteristic. SANER 2024: 787-791 - [i11]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) - [i10]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) - [i9]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
- [j9]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): 20 (2023) - [j8]Pattaraporn Sangaroonsilp
A taxonomy for mining and classifying privacy requirements in issue reports. Inf. Softw. Technol. 157: 107162 (2023) - [j7]Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra, Chaiyong Ragkhitwetsagul, Rungroj Maipradit, Hideaki Hata
Studying the association between Gitcoin's issues and resolving outcomes. J. Syst. Softw. 206: 111835 (2023) - [c23]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 - [i8]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) - [i7]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) - [i6]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
- [j6]Noppadol Assavakamhaenghan, Waralee Tanaphantaruk, Ponlakit Suwanworaboon, Morakot Choetkiertikul, Suppawong Tuarob
Quantifying effectiveness of team recommendation for collaborative software development. Autom. Softw. Eng. 29(2): 51 (2022) - [c22]Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Apirak Hoonlor
Virtual Reality for Software Engineering Presentations. APSEC 2022: 507-516 - [c21]Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideki Hata
A component recommendation model for issues in software projects. JCSSE 2022: 1-6 - [c20]Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul
V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities. ASE 2022: 169:1-169:4 - [c19]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 - 2021
- [j5]Morakot Choetkiertikul
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j4]Suppawong Tuarob, Noppadol Assavakamhaenghan, Waralee Tanaphantaruk, Ponlakit Suwanworaboon, Saeed-Ul Hassan
Automatic team recommendation for collaborative software development. Empir. Softw. Eng. 26(4): 64 (2021) - [c18]Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata
FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. ASE 2021: 1257-1261 - [i5]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) - [i4]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) - [i3]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
- [c17]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 - [c16]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 - [i2]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
- [j3]Morakot Choetkiertikul
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45(7): 637-656 (2019) - [c15]Supatsara Wattanakriengkrai, Napat Srisermphoak, Sahawat Sintoplertchaikul, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Hideaki Hata
Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF. APSEC 2019: 316-322 - [c14]Thanadon Bunkerd, Dong Wang, Raula Gaikovina Kula
How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects. IWESEP 2019: 7-12 - [c13]Noppadol Assavakamhaenghan, Morakot Choetkiertikul, Suppawong Tuarob, Raula Gaikovina Kula
Software Team Member Configurations: A Study of Team Effectiveness in Moodle. IWESEP 2019: 19-24 - [c12]Vara Arammongkolvichai, Rainer Koschke, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta:
Improving Clone Detection Precision Using Machine Learning Techniques. IWESEP 2019: 31-36 - [c11]Tattiya Sakulniwat, Raula Gaikovina Kula
Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom. IWESEP 2019: 43-48 - 2018
- [j2]Morakot Choetkiertikul
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44(6): 551-573 (2018) - [c10]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Multi-Objective Iteration Planning in Agile Development. APSEC 2018: 484-493 - [c9]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: 244-245 - [c8]Supatsara Wattanakriengkrai, Rungroj Maipradit, Hideaki Hata
Identifying Design and Requirement Self-Admitted Technical Debt Using N-gram IDF. IWESEP 2018: 7-12 - 2017
- [j1]Morakot Choetkiertikul, Hoa Khanh Dam
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22(3): 1223-1263 (2017) - [c7]Shien Wee Ng, Hoa Khanh Dam
Predicting Issues for Resolving in the Next Release. ASSRI 2017: 164-177 - 2016
- [i1]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A deep learning model for estimating story points. CoRR abs/1609.00489 (2016) - 2015
- [c6]Morakot Choetkiertikul, Hoa Khanh Dam
Threshold-based prediction of schedule overrun in software projects. ASWEC (2) 2015: 81-85 - [c5]Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose:
Who Will Answer My Question on Stack Overflow? ASWEC 2015: 155-164 - [c4]Morakot Choetkiertikul, Hoa Khanh Dam
Predicting Delays in Software Projects Using Networked Classification (T). ASE 2015: 353-364 - [c3]Morakot Choetkiertikul, Hoa Khanh Dam
Characterization and Prediction of Issue-Related Risks in Software Projects. MSR 2015: 280-291 - 2014
- [c2]Morakot Choetkiertikul, Hoa Khanh Dam
A CMMI-Based Automated Risk Assessment Framework. APSEC (2) 2014: 63-68 - 2010
- [c1]Morakot Choetkiertikul, Thanwadee Sunetnanta:
A Risk Assessment Model for Offshoring Using CMMI Quantitative Approach. ICSEA 2010: 331-336
Coauthor Index
aka: Hoa Khanh Dam
aka: Aditya K. Ghose
aka: Kenichi Matsumoto
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last updated on 2024-10-10 22:13 CEST by the dblp team
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