Software Diversity Assessment Based on Input Space Decomposition

Luping Chen; John H R May; Gordon Hughes

Software Diversity Assessment Based on Input Space Decomposition

Luping Chen, John H R May, Gordon Hughes

Research output: Contribution to journal › Article (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 contribution	Software Diversity Assessment Based on Input Space Decomposition
Original language	English
Pages (from-to)	623-627
Journal	The Fifth International Conference on Computer Science and Informatics
Publication status	Published - 2000

Bibliographical note

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

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@article{30a06ad3bf2a4d4f90a9079f2af1a02e,

title = "Software Diversity Assessment Based on Input Space Decomposition",

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.",

author = "Luping Chen and May, {John H R} and Gordon Hughes",

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

year = "2000",

language = "English",

pages = "623--627",

journal = "The Fifth International Conference on Computer Science and Informatics",

}

TY - JOUR

T1 - Software Diversity Assessment Based on Input Space Decomposition

AU - Chen, Luping

AU - May, John H R

AU - Hughes, Gordon

N1 - ISBN: 0964345692 Name and Venue of Conference: The Fifth International Conference on Computer Science and Informatics Other identifier: 1000443

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

M3 - Article (Academic Journal)

SP - 623

EP - 627

JO - The Fifth International Conference on Computer Science and Informatics

JF - The Fifth International Conference on Computer Science and Informatics

ER -

Software Diversity Assessment Based on Input Space Decomposition

Abstract

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