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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021

This program is tentative and subject to change.

Wed 19 May 2021 02:20 - 02:30 at MSR Room 1 - Bug Detection

Continuous fuzzing is an increasingly popular technique for automated quality and security assurance. Google maintains OSS-Fuzz: a continuous fuzzing service for open source software. We conduct the first empirical study of OSS-Fuzz, analyzing 23,907 bugs found in 316 projects. We examine the characteristics of fuzzer-found faults, the lifecycles of such faults, and the evolution of fuzzing campaigns over time. We find that OSS-Fuzz is often effective at quickly finding bugs, and developers are often quick to patch them. However, flaky bugs, timeouts, and out of memory errors are problematic, people rarely file CVEs for security vulnerabilities, and fuzzing campaigns often exhibit punctuated equilibria, where developers might be surprised by large spikes in bugs found. Our findings have implications on future research and practice in fuzzing.

This program is tentative and subject to change.

Wed 19 May
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

02:00 - 02:50
02:00
10m
Talk
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Technical Papers
Jirayus JiarpakdeeMonash University, Australia, Chakkrit TantithamthavornMonash University, John GrundyMonash University
Pre-print
02:10
10m
Talk
On the Effectiveness of Deep Vulnerability Detectors to Simple Stupid Bug Detection
Mining Challenge
Jiayi HuaBeijing University of Posts and Telecommunications, Haoyu WangBeijing University of Posts and Telecommunications
Pre-print
02:20
10m
Talk
An Empirical Study of OSS-Fuzz Bugs
Technical Papers
Zhen Yu DingMotional, Claire Le GouesCarnegie Mellon University
Pre-print
02:30
10m
Talk
Denchmark: A Bug Benchmark of Deep Learning-related Software
Data Showcase
Misoo KimSungkyunkwan University, Youngkyoung KimSungkyunkwan University, Eunseok LeeSungkyunkwan University
02:40
10m
Talk
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Technical Papers
Chanathip PornprasitMonash University, Chakkrit TantithamthavornMonash University
Pre-print