Software Diversity Assessment Based on Input Space Decomposition

Luping Chen, John H R May, Gordon Hughes

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Based on the EL and LM models for coincident failures in multiversion software, a new approach to estimation of failure behaviours correlation is presented. The crucial technique is to utilize decomposition of the input space. The result is that the greater the number of common success subregions confirmed by testing, the less likely it is that the independence model is appropriate on the whole input space. Input space decomposition will benefit diversity assessment.
Translated title of the contributionSoftware Diversity Assessment Based on Input Space Decomposition
Original languageEnglish
Pages (from-to)623-627
JournalThe Fifth International Conference on Computer Science and Informatics
Publication statusPublished - 2000

Bibliographical note

ISBN: 0964345692
Name and Venue of Conference: The Fifth International Conference on Computer Science and Informatics
Other identifier: 1000443

Fingerprint Dive into the research topics of 'Software Diversity Assessment Based on Input Space Decomposition'. Together they form a unique fingerprint.

Cite this