Rungroj MAIPRADIT

Rungroj MAIPRADIT

Biography

I am a Ph.D. student in the Software Engineering Laboratory at Nara Institute of Science and Technology. My research interest consists of studies on text classification, such as self-admitted technical debt and sentiment classification. My other side project is a study on Blockchain. My research collaborates with Prof. Christoph Treude, Prof. Michele Lanza, Prof. Gabriele Bavota, and Prof. Hideaki Hata.

Interests
  • Empirical Software Engineering
  • Machine learning
  • Self-admitted technical debt
  • Text classification
  • Blockchain
Education

  • Doctor of Engineering (Expected), 2022

    Nara Institute of Science and Technology

  • Master of Engineering, Information Science, 2019

    Nara Institute of Science and Technology

  • Bachelor of Engineering, Computer Engineering, 2016

    Kasetsart University

Experience

 
 
 
 
 
Visiting Reserach Student
Università della Svizzera italiana
Nov 2019 – Dec 2019 Lugano, Switzerland
Studied on automated identification and evolution of on-hold self-admitted technical debt under the supervision of Prof. Michele Lanza and Prof. Gabriele Bavota at Reverse Engineering, Visualization, Evolution Analysis Lab (REVEAL). From this collaboration, we published paper ``Automated identification of on-hold self-admitted technical debt'' in SCAM 2020.
 
 
 
 
 
Visiting Reserach Student
University of Hong Kong
Oct 2018 – Nov 2018 Hong Kong
Studied on bug localization under the supervision of Prof. Jacky Wai Keung.
 
 
 
 
 
Associate Visionary Architect
KASIKORN Business-Technology Group
Jul 2016 – Apr 2017 Bangkok, Thailand
Worked in Technology Innovation Department. Studied the possibility of using Blockchain technology in a financial environment.

Recent Publications

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Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto (2021). FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. ASE 2021.

Rungroj Maipradit, Christoph Treude, Hideaki Hata, Kenichi Matsumoto (2020). Wait for it: identifying “On-Hold” self-admitted technical debt. Empirical Software Engineering.

DOI

Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto (2020). Automated identification of on-hold self-admitted technical debt. SCAM 2020.

DOI

Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto (2019). Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning. IEEE Software.

DOI

Supatsara Wattanakriengkrai, Rungroj Maipradit, Hideki Hata, Morakot Choetkiertikul, Thanwadee Sunetnanta, Kenichi Matsumoto (2018). Identifying design and requirement self-admitted technical debt using n-gram idf. IWESEP.

DOI

See all publications

Recent & Upcoming Talks

Wait For It: Identifying “On-Hold”Self-Admitted Technical Debt
Sep 6, 2021 4:00 PM — Sep 7, 2021 2:00 PM SES 2021
Wait For It: Identifying "On-Hold"Self-Admitted Technical Debt
May 25, 2021 4:00 PM — Jun 2, 2021 2:00 PM ICSE 2021

Contact

  • <firstname>.md{at}gmail.com, <lastname>.<firstname>.mm6{at}is.naist.jp