Team

academic staff

Thanwadee Sunetnanta
(Assistant Professor)

Morakot Choetkiertikul
(Assistant Professor)

Pattaraporn Sangaroonsilp
(Lecturer)

Apirak Hoonlor
(Adjunct Researcher and Collaborator)

Current Students

Doctoral Students

Gonatee Klanktong
Advisors: Dr. Thanwadee Sunetnanta and Asst. Prof. Dr. Morakot Choetkiertikul
Topic: Technical debts

In-on Wiratsin
Advisor: Dr. Chaiyong Ragkhitwetsagul
Topic: Improving Code Quality using Stack Overflow Data

Master's Students

Chayanee Junplong
Advisors: Dr. Chaiyong Ragkhitwetsagul
Topic: LLMs for Human-interpretable Explanation in Code Clone Detection

Krittanan Jipimai
Advisors: Asst. Prof. Dr. Morakot Choetkiertikul
Topic: A comparison of of Jupyter notebooks in Kaggle and GitHub

Dan M. Kazimoto
Advisors: Asst. Prof. Dr. Morakot Choetkiertikul and Dr. Chaiyong Ragkhitwetsagul
Topic: Bus factor recommendation

Undergrad Students

2023: A Study of Python Developer Competencies

Advisor: Dr. Chaiyong Ragkhitwetsagul (co-supervise with Asst. Prof. Dr. Morakot Choetkiertikul)

2024: Internship Students

In 2024, we send 11 undergraduate students for the research summer internship with our collaborators in Japan!

NAIST SE Lab

Advisor: Asst. Prof. Dr. Raula Gaikovina Kula 

Ms. Sushawapak Kancharoendee
Mr. Thanat Phichitphanphong
Mr. Prachnachai Meakpaiboonwattana

Osaka U SE lab

Advisor: Prof. Yoshiki Higo

Ms. Ramita Deeprom
Ms. Chutweeraya Sriwilailak

JAIST

Advisors:
Junior Assoc. Prof. Dr. Teeradaj Racharak (ReaLearn Lab), Prof. Toshiaki Aoki (Aoki-Lab), Prof. Daisuke Ishii (Ishii-Lab)

Ms. Pachanitha Saeheng
Ms. Chommakorn Sontesadisai
Ms. Phanphum Prathumsuwan
Mr. Pawat Sukkasem
Ms. Supithcha Jongphoemwatthanaphon
Mr. Burit Sihabut

2023: Internship Students (Remote)

NAIST advisor: Asst. Prof. Dr. Raula Gaikovina Kula 

2022: Mining the Characteristics of Jupyter Notebooks in Data Science Projects

Advisor: Dr. Morakot Choetkiertikul (co-supervise with Asst. Prof. Dr. Raula Gaikovina Kula at NAIST) - A part of NAIST Internship


2022: Automatically recommending relevant code cells in Jupyter notebooks

Advisor: Dr. Chaiyong Ragkhitwetsagul (co-supervise with Asst. Prof. Dr. Raula Gaikovina Kula at NAIST) - A part of NAIST Internship

Repository, Thesis

2022: STUDYING JAVASCRIPT CODE COMPETENCY IN OPEN-SOURCE PROJECTS

Advisor: Dr. Chaiyong Ragkhitwetsagul (co-supervise with Asst. Prof. Dr. Raula Gaikovina Kula at NAIST) - A part of NAIST Internship

Natpichsinee
Puttiwarodom

2022: NAIST Internship Students

Advisor: Asst. Prof. Dr. Raula Gaikovina Kula at NAIST) 

Tasha Settewong

NAIST Internship Student 2022

Natanon Ritta

NAIST Internship Student 2022

Graduated Students

Undergrad Students

2021: Microusity: Security Testing Tool for Backends for Frontends (BFF) Microservice Architecture 

Advisors: Dr. Chaiyong Ragkhitwetsagul (advisor), Asst. Prof. Dr. Vasaka Visoottiviseth (co-advisor) and Lineman Wongnai (co-advisor)

Repository:  GitHub, Tool demo: https://microusity.dev, Thesis

Pumipat Watanakulcharus

2020: Empirical study of GitCoin bug bounty

Advisors: Dr. Morakot Choetkiertikul (co-supervise with Asst. Prof. Dr. Hideaki Hata) - A part of NAIST Internship

Repository: GitHub

Varuit Wuttisathit

2020: Identifying technical debt in open source projects

Advisors: Dr. Morakot Choetkiertikul (co-supervise with Asst. Prof. Dr. Hideaki Hata) - A part of NAIST Internship

Repository: GitHub

2020: Automatic checker for outdated StackOverflow answers in software projects

Advisor: Dr. Chaiyong Ragkhitwetsagul

Repository: GitHub, Thesis

2020: Achilles: An Interactive Visualization of Transitive Security Vulnerabilities

Advisors: Dr. Chaiyong Ragkhitwetsagul (co-supervise with Asst. Prof. Dr. Raula Gaikovina Kula at NAIST) - A part of NAIST Internship

Repository: GitHub, Thesis

2019: Software Naturalness Analysis

Advisors: Asst. Prof. Dr. Thanwadee Sunetnanta, Dr. Morakot Choetkiertikul - A part of NAIST Internship

Repository: GitHub

Thanadon Bunkerd

Benjaporn Inmoonnoy

Niramol Mongkonlikitkajohn

2019: Merry: Web-based Code Clone Detection System using Machine Learning

Advisors: Dr. Chaiyong Ragkhitwetsagul, Dr. Morakot Choetkiertikul - A part of University of Bremen Internship

Repository: GitHub, Thesis

Wannaporn Vichaisri

2019: TEDDY: Automated tool for detection and suggestion of Pythonic idiom usage

Best tool demo award at ICSME'20! See here for more info.

Advisors: Dr. Chaiyong Ragkhitwetsagul, Asst. Prof. Dr. Thanwadee Sunetnanta - A part of NAIST Internship

Repository: GitHub, Thesis

Purit Phan-udom

Naruedon Wattakul

Tattiya Sakulniwat

2019: Sprint2Vec: A deep learning-based model for learning vector representation of iterative software development

Advisors: Dr. Morakot Choetkiertikul, Dr. Chaiyong Ragkhitwetsagul

Repository: GitHub

2019: Bug Hunter v.2

Advisors: Dr. Morakot Choetkiertikul, Dr. Chaiyong Ragkhitwetsagul - A part of Monash University internship

Krissakorn Pruktharathikoon

Natcha Sirikunanon

Rapipat Udomgun

2018: Requirement and Design Self Admitted Technical Debt Detection

Advisors: Asst. Prof. Dr. Thanwadee Sunetnanta, Dr. Morakot Choetkiertikul - A part of NAIST Internship

Sahawat Sintoplertchaikul

Napat Srisermphoak

Supatsara Wattanakriengkrai

(currently PhD student at NAIST)

2018: Software Component Recommendation System

Advisors: Dr. Morakot Choetkiertikul - A part of NAIST Internship

Pacawat Kangwanwisit

Thitinun Chotigavanich

Jitkanya Tiawsawat