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Modelling the Failure Rate Function in Coverage and Software Reliability Growth

Modelling the Failure Rate Function in Coverage and Software Reliability Growth There is a new trend of incorporating software coverage metrics into software reliability modelling. This paper proposes a coverage‐based software reliability growth model. Firstly, the failure rate function in coverage is analytically derived. Then it is shown that the number of detected faults follows a Nonhomogeneous Poisson distribution of which intensity function is the failure rate function in coverage. Practical applicability of the proposed models is examined by illustrative numerical examples. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal on Quality Emerald Publishing

Modelling the Failure Rate Function in Coverage and Software Reliability Growth

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
1598-2688
DOI
10.1108/15982688200400008
Publisher site
See Article on Publisher Site

Abstract

There is a new trend of incorporating software coverage metrics into software reliability modelling. This paper proposes a coverage‐based software reliability growth model. Firstly, the failure rate function in coverage is analytically derived. Then it is shown that the number of detected faults follows a Nonhomogeneous Poisson distribution of which intensity function is the failure rate function in coverage. Practical applicability of the proposed models is examined by illustrative numerical examples.

Journal

Asian Journal on QualityEmerald Publishing

Published: Apr 17, 2004

Keywords: Coverage metric; Failure rate; Software reliability; Software reliability growth model

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