NDLI: Indexing Noncrashing Failures: A Dynamic Program Slicing-Based Approach

Content Provider	IEEE Xplore Digital Library
Author	Chao Liu Xiangyu Zhang Jiawei Han Yu Zhang Bhargava, B.K.
Copyright Year	2007
Description	Author affiliation: Univ. of Ilinois-UC, Urbana (Chao Liu)
Abstract	Recent software systems usually feature an automated failure reporting component, with which a huge number of failures are collected from software end-users. With a proper support of failure indexing, which identifies failures due to the same fault, the collected failure data can help developers prioritize failure diagnosis, among other utilities of the failure data. Since crashing failures can be effectively indexed by program crashing venues, current practice has seen great success in prioritizing crashing failures. A recent study of bug characteristics indicates that as excellent memory checking tools are widely adopted, semantic bugs and the resulting noncrashing failures have become dominant. Unfortunately, the problem of how to index non-crashing failures has not been seriously studied before. In previous study, two techniques have been proposed to index noncrashing failures, and they are T-Proximity and R-Proximity. However, as T-Proximity indexes failures by the profile of the entire execution, it is generally not effective because most information in the profile is fault-irrelevant. On the other hand, although R-Proximity is more effective than T-Proximity, it relies on a sufficient number of correct executions that may not be available in practice. In this paper, we propose a dynamic slicing-based approach, which does not require any correct executions, and is comparably effective as R-Proximity. A detailed case study with gzip is reported, which clearly strates the advantages of the proposed approach.
Starting Page	455
Ending Page	464
File Size	2562609
Page Count	10
File Format	PDF
ISBN	9781424412556
ISSN	10636773
DOI	10.1109/ICSM.2007.4362658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-02
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexing Fault diagnosis Computer science Computer crashes Software testing Chaos Computer bugs Software systems Java Failure analysis
Content Type	Text
Resource Type	Article

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