Automated Driving System

Tatsuya Shirai, Keitaro Ito, Ayane Shirakawa, and Kan Watanabe from our laboratory presented at the 32nd Workshop on Foundations of Software Engineering (FOSE2025), taken place in Ehime prefecture from November 6-8, 2025. Shirai presented “An Empirical Study on the Impact of Programming Languages in Fuzzing.” This research focused on fuzzing, an automated software testing technique, and conducted a large-scale analysis of how the characteristics of different programming languages affect fuzzing results.

Ryoji Agatsuma and Ibuki Nakamura from our laboratory presented at the Foundation of Software Engineering 2024 (FOSE2024), taken place in Saga prefecture from November 28 to 30, 2024. Mr. Agatsuma presented “An Analysis of Software Quality Using Automated Driving Simulation Test Results.” This research analyzed the relationship between automated driving simulation test results and software quality metrics. The findings revealed that code groups associated with failed simulation tests tend to exhibit higher values of software quality metrics, including code smells and complexity measures.