Title :
A Diversity Model Based on Failure Distribution and Its Application in Safety Cases
Author :
Luping Chen ; May, John
Author_Institution :
Safety Syst. Res. Centre, Univ. of Bristol, Bristol, UK
fDate :
June 30 2014-July 2 2014
Abstract :
This work develops a new basis for evaluating the reliability benefits of diverse software, based on fault injection testing. In particular, the work investigates forms of argumentation that could be used to justify diversity as a basis for the construction of safety claims. Failure distributions of two versions of diverse software under various fault conditions are revealed separately by fault injection methods, and then the common failure probability of the version-pair can be estimated. The approach is justified theoretically, and cross validated with other work. This method is also used to explain the fundamental influence of failure distributions on diversity.
Keywords :
configuration management; program testing; safety-critical software; software fault tolerance; diverse software; diversity model; failure distributions; failure probability; fault conditions; fault injection methods; fault injection testing; reliability benefits; safety cases; safety claims; version-pair; Mathematical model; Safety; Sociology; Software; Software reliability; Statistics; Fault Injection; Multi-version; Reliability; Safety Case; Safety Critical System; Software Diversity;
Conference_Titel :
Software Security and Reliability (SERE), 2014 Eighth International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-4296-1
DOI :
10.1109/SERE.2014.13