Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection

Read full text
Authors: Tatsuya Shirai, Olivier Nourry, Yutaro Kashiwa, Kenji Fujiwara, Hajimu Iida
Cited by: 0

Abstract

Fuzzing has become a popular technique for automatically detecting vulnerabilities and bugs by generating unexpected inputs. In recent years, the fuzzing process has been integrated into continuous integration workflows (i.e., continuous fuzzing), enabling short and frequent testing cycles. Despite its widespread adoption, prior research has not examined whether the effectiveness of continuous fuzzing varies across programming languages.

Fields of Study & Subjects

Software Testing and Debugging Techniques Software Engineering Research Software Engineering Techniques and Practices

Publication details

Journal / source
International Conference on Mining Software Repositories (MSR)
Pages
287–298
Publication date
13 April 2026