4 papers
To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study
Shota Sawada, Tatsuya Shirai, Yutaro Kashiwa +3
LLM-based autonomous coding agents have reshaped software development. While these agents excel at code generation, open questions persist about the long-term maintainability of AI…
What to Cut? Predicting Unnecessary Methods in Agentic Code Generation
Kan Watanabe, Tatsuya Shirai, Yutaro Kashiwa +1
Agentic Coding, powered by autonomous agents such as GitHub Copilot and Cursor, enables developers to generate code, tests, and pull requests from natural language instructions alo…
Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection
Tatsuya Shirai, Olivier Nourry, Yutaro Kashiwa +2
Fuzzing has become a popular technique for automatically detecting vulnerabilities and bugs by generating unexpected inputs. In recent years, the fuzzing process has been integrate…
Large-Scale Empirical Analysis of Continuous Fuzzing: Insights from 1 Million Fuzzing Sessions
Tatsuya Shirai, Olivier Nourry, Yutaro Kashiwa +3
Software vulnerabilities are constantly being reported and exploited in software products, causing significant impacts on society. In recent years, the main approach to vulnerabili…