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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021
Wed 19 May 2021 02:12 - 02:15 at MSR Room 1 - Bug Detection Chair(s): Raula Gaikovina Kula

A growing interest in deep learning (DL) has instigated a concomitant rise in DL-related software (DLSW). Therefore, the importance of DLSW quality has emerged as a vital issue. Simultaneously, researchers have found DLSW more complicated than traditional SW and more difficult to debug owing to the black-box nature of DL. These studies indicate the necessity of automatic debugging techniques for DLSW. Although several validated debugging techniques exist for general SW, no such techniques exist for DLSW. There is no standard bug benchmark to validate these automatic debugging techniques. In this study, we introduce a novel bug benchmark for DLSW, Denchmark, consisting of 4,577 bug reports from 193 popular DLSW projects, collected through a systematic dataset construction process. These DLSW projects are further classified into eight categories: framework, platform, engine, compiler, tool, library, DL-based application, and others. All bug reports in Denchmark contain rich textual information and links with bug-fixing commits, as well as three levels of buggy entities, such as files, methods, and lines. Our dataset aims to provide an invaluable starting point for the automatic debugging techniques of DLSW.

Wed 19 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

02:00 - 02:50
02:01
4m
Talk
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Technical Papers
Jirayus Jiarpakdee Monash University, Australia, Chakkrit Tantithamthavorn Monash University, John Grundy Monash University
Pre-print
02:05
3m
Talk
On the Effectiveness of Deep Vulnerability Detectors to Simple Stupid Bug Detection
Mining Challenge
Jiayi Hua Beijing University of Posts and Telecommunications, Haoyu Wang Beijing University of Posts and Telecommunications
Pre-print
02:08
4m
Talk
An Empirical Study of OSS-Fuzz Bugs
Technical Papers
Zhen Yu Ding Motional, Claire Le Goues Carnegie Mellon University
Pre-print
02:12
3m
Talk
Denchmark: A Bug Benchmark of Deep Learning-related Software
Data Showcase
Misoo Kim Sungkyunkwan University, Youngkyoung Kim Sungkyunkwan University, Eunseok Lee Sungkyunkwan University
02:15
4m
Talk
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Technical Papers
Chanathip Pornprasit Monash University, Chakkrit Tantithamthavorn Monash University
Pre-print
02:19
31m
Live Q&A
Discussions and Q&A
Technical Papers


Information for Participants
Wed 19 May 2021 02:00 - 02:50 at MSR Room 1 - Bug Detection Chair(s): Raula Gaikovina Kula
Info for room MSR Room 1:

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