NDLI: Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems

Content Provider	IEEE Xplore Digital Library
Author	Mahmood, T. Kazmierczak, E. Kelly, T. Plunkett, D.
Copyright Year	2007
Description	Author affiliation: Univ. of Melbourne, Melbourne (Mahmood, T.; Kazmierczak, E.)
Abstract	Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as causal event analysis are insufficient in light of a growing trend of accidents involving complex interactions between components with and without the occurrence of failures. Furthermore, the reuse of accident knowledge in current practices relies heavily on human expert recall and interpretation. In this paper, we propose an ontological classification mechanism to acquire and reuse knowledge from past accidents that focuses on the interactions taking place in a system. A set of knowledge bases are constructed independently using a feature-based classification and a domain specific ontology to organize the term spaces of each feature. Similarity mechanisms are introduced to retrieve and integrate the acquired knowledge into the new system analyses. Our experiments show how our approach reuses accident knowledge to uncover potential safety concerns in future safety analysis that may otherwise have been incorrectly classified in traditional approaches.
Starting Page	175
Ending Page	182
File Size	703793
Page Count	8
File Format	PDF
ISBN	0769530575
ISSN	15301362
DOI	10.1109/ASPEC.2007.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-04
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accidents Software systems Humans Software safety Failure analysis Software engineering Computer science Ontologies Application software Bioreactors
Content Type	Text
Resource Type	Article

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