SERU · Software Engineering Research Unit, Mahidol University

News

Sep 2026Two papers accepted at APSEC 2026 in Bali, Indonesia, one in the Technical Track and one in the ERA Track.Read more →
Sep 2026Our summer interns presented their work at the ICT Internship Poster Exhibition on 23 September, after a summer with our partners in Japan.Read more →
Aug 2026DepSecLens, a tool that checks the security of Python dependencies, received an Honorable Mention at the 28th National Software Contest (NSC 2026).Read more →
Jan 2026The Faculty of ICT and NAIST signed an agreement for a doctoral double degree program.Read more →

Research

We study real software projects and the people who build them. Many of our results become tools that developers can use, such as Teddy, V-Achilles, and DepSecLens.

AI-assisted software development
How developers work with AI coding tools and agents, and how far their output can be trusted. Recent studies cover the Agent Package Manager (APSEC 2026), LLM-powered code review (APSEC 2025), and AI projects on GitHub (ICSME 2025).
AI agentsLLMscode review
Open-source security
How open-source projects report and handle vulnerabilities, and how developers can pick safer dependencies. This line includes the SECURITY.md study (EMSE 2026) and DepSecLens, which received an Honorable Mention at NSC 2026.
dependenciesvulnerabilitiesPyPI
Software process and the Thai software industry
How software companies, especially small firms in Thailand, plan, build, and improve their software, from ISO/IEC 29110 to automated tools and remote work. Recent results appear in JSS 2026, EMSE 2024, and InCIT 2025.
ISO/IEC 29110Thai SMEsprocess improvement
Developer and team analytics
What project data reveals about developers and teams, such as how sprints unfold (Sprint2Vec, TSE 2025), how widely knowledge is held in a team (DEV-EYE, APSEC 2024), and how coding skill grows over time (PyGress, ASE 2025).
mining repositoriesteamsagile
Privacy in software
How privacy requirements appear in real projects, and how to find them automatically. Work includes a taxonomy of privacy requirements in issue reports (IST 2023) and a study of automated ways to classify them (Automated Software Engineering journal, 2023).
privacyrequirementsissue reports

People

Thanwadee Sunetnanta

Assistant Professor

Morakot Choetkiertikul

Assistant Professor

Pattaraporn Sangaroonsilp

Lecturer

Doctoral students

Gonatee Klanktong
Diabetic foot ulcer (DFU) research
In-on Wiratsin
Improving Code Quality using Stack Overflow Data
Dan M. Kazimoto
An AI-Agentic Model for Predicting and Explaining Software Release Outcomes in the Era of AI Coding Agents

Master's students

Lapatrada Dangsungnoen
M-MMT4NL: Multilingual Testing Framework for Large-Language Models
Aung Min Khant
Green Software Engineering
Eaint Yamone
Human-AI collaboration in software development
Nhatthapong Pukdeeboon
Development of a predictive model for diabetic foot risk using podoscope data with XAI-based explanations

Where students do real research

Since 2023, more than 30 of our undergraduates have spent a summer at partner labs abroad, and their projects have become papers at ICSME, APSEC, SANER, and ASE. Our students build tools that developers use, and their work has won awards at ICSME and Thailand's National Software Contest.

Undergraduate projects, internships, and alumni →

Publications

Our papers appear in journals such as TSE, EMSE, and JSS, and at conferences such as ICSE, ASE, and ICSME.

73Publications since 2018
31At top venues
17At CORE A* or A conferencesincluding 8 at A*
18Journal articles

Counts cover all papers by current members from 2018 on, in every track. A top venue is a journal in the first quartile of the SCImago Journal Rank, a conference ranked A* or A by CORE (ICORE2026), or a venue in the top 20 of its Google Scholar Metrics field (2025 edition).