Work

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

Year: 2026

Type: conference-paper

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.

Source: International Conference on Mining Software Repositories (MSR)

DOI: 10.1145/3793302.3793358

Authors: Tatsuya Shirai, Olivier Nourry, Yutaro Kashiwa, Kenji Fujiwara, Hajimu Iida

Institutions: Nara Institute of Science and Technology, The University of Osaka, Nara Women's University

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Japan Society for the Promotion of Science, Precursory Research for Embryonic Science and Technology

Awards: ファジングが発見した不具合の自動修正技術, Developing techniques for fault localization with incomplete logs, 仮想開発者の導入による協調型ソフトウェア工学教育の個別学習化

OpenAlex ID: W7128059724

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