Shade Ruangwan

Ph.D. Student in Software Engineering

Software Engineering Laboratory, Nara Institute of Science and Technology

Biography

I am currently a Ph.D. student at Nara Institute of Science and Technology (NAIST) under the supervision of Professor Kenichi Matsumoto. My research interests include empirical software engineering and mining software repositories. My work focuses on conducting empirical studies on historical data captured during software development. In particular, I apply data science and statistical analysis techniques on complex software development data (especially in the context of code review and software repositories). My ultimate goals are to understand and improve software development practices.

Interests

Empirical Software Engineering
Mining Software Repositories
Collaborative Software Engineering
Human and Social Aspects of Software Engineering

Education

Doctor of Engineering (Expected), 2020

Nara Institute of Science and Technology, Japan
Master of Engineering, 2017

Nara Institute of Science and Technology, Japan
Bachelor of Engineering, 2015

Kasetsart University, Thailand

Experience

February 2018 – March 2018

Ontario, Canada

Visiting Research Student

Queen’s University

Under the supervision of Professor Ahmed E. Hassan at Software Analysis and Intelligence Lab (SAIL). I was working on the research topic of developer turnover in open source software development.

March 2017 – March 2017

Hong Kong

Visiting Research Student

City University of Hong Kong

Under the supervision of Professor Jacky W. Keung.

August 2016 – September 2016

Osaka, Japan

Software Engineering Intern

Rakuten

I was in eCommerce Platform Development, Ranking Service Group.

Recent Publications

Analyzing of Effective Software Team Configurations: A Study of Moodle Issue Tracking System

Noppadol Assavakamhaenghan, Raula Gaikovina Kula, Hideaki Hata, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Suppawong Tuarob, Shade Ruangwan, Kenichi Matsumoto

10th International Workshop on Empirical Software Engineering in Practice (IWESEP), 2019

The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review

Shade Ruangwan, Patanamon Thongtanunam, Akinori Ihara, Kenichi Matsumoto

Empirical Software Engineering (EMSE), 2019

Invited for a Journal-First Paper presentation at ICSE 2019, Montreal, Canada

Preprint Code Dataset Source Document

(Master Thesis) The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review

Shade Ruangwan

Nara Institute of Science and Technology (NAIST), 2017

Source Document

Study of User Behavior Evolution in Kasetsart University Facebook Usage

Shade Ruangwan, Patcharee Yangcharoenyuenyong, Athasit Surarerks, Bundit Manaskasemsak, Arnon Rungsawang