Colloquium Computer Science - Yutaro Kashiwa, Nara Institute of Science and Technology
| When: | Th 10-11-2022 16:00 - 17:00 |
| Where: | 5173.0045 Linnaeusborg |
Title: Self-Admitted Technical Debt in Modern Code Review
Abstract:
Technical debt is a sub-optimal state of development in projects. In particular, the type of technical debt incurred by developers themselves (e.g., comments that mean the implementation is imperfect and should be replaced with another implementation) is called self-admitted technical debt (SATD). In theory, technical debt should not be left for a long period because it accumulates more cost over time, making it more difficult to process. Accordingly, developers have traditionally conducted code reviews to find technical debt. In fact, we observe that many SATD comments are often introduced during modern code reviews (MCR) that are light-weight reviews with web applications. However, it is uncertain about the nature of SATD comments that are introduced in the review process: impact, frequency, characteristics, and triggers. Herein, this study empirically examines the relationship between SATD and MCR. Our case study of 156,372 review records from the Qt and OpenStack systems shows that (i) review records involving SATD are about 6%–7% less likely to be accepted by reviews than those without SATD; (ii) review records involving SATD tend to require two to three more revisions compared with those without SATD; (iii) 28–48% of SATD comments are introduced during code reviews; (iv) SATD during reviews works for communicating between authors and reviewers; and (v) 20% of the SATD comments are introduced due to reviewers’ requests.
Bio:
Dr. Yutaro Kashiwa is an assistant professor at Nara Institute of Science and Technology (NAIST), Japan. He 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. He received his Ph.D. degree in engineering from Wakayama University in 2020. His research interests include empirical software engineering, specifically the analysis of software bugs, testing, refactoring, and release.