I am an associate professor at Nara Institute of Science and Technology (NAIST), Japan, and a JST FOREST Researcher. I worked for Hitachi Ltd. as a full-time software engineer for two years before spending three years as a research fellow of the Japan Society for the Promotion of Science. I received my Ph.D. degree in engineering from Wakayama University in 2020. After this, I was a post-doc under SENSOR (SENsible SOftware Refactoring) project led by Yasutaka Kamei and Gabriele Bavota.
My research interests include empirical software engineering, specifically mining software repositories. I focus on utilizing data generated from continuous integration and DevOps to improve software quality and development efficiency. In recent years, I have been actively working on Just-In-Time defect prediction and automatic refactoring using trace logs obtained through dynamic analysis during test execution. I also collaborate with many researchers from universities in Canada, Switzerland, the Netherlands, Luxembourg, and Thailand on numerous international joint research projects. Ph.D. in Engineering.
Conference rankings are based on CORE Rankings. Journal rankings are based on SCImago Journal Rankings (SJR).
Other publications: https://github.com/Yutaro-Kashiwa/papers
yutaro.kashiwa [at] is.naist.jp