Open Access
November 2016 On Software and System Reliability Growth and Testing
Frank P. A. Coolen
Statist. Sci. 31(4): 541-544 (November 2016). DOI: 10.1214/16-STS583

Abstract

Singpurwalla presents an insightful proposal on foundations of reliability [Statist. Sci. 31 (2016) 521–540], suggesting to consider reliability not as a probability but as a propensity, in particular as the unobservable parameter in De Finetti’s famous representation theorem. One specific issue considered is reliability growth, with example scenario the performance of software as it evolves over time. We briefly discuss some related aspects, mainly based on applied research on statistical methods to support software testing and insights from our research on system reliability.

Citation

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Frank P. A. Coolen. "On Software and System Reliability Growth and Testing." Statist. Sci. 31 (4) 541 - 544, November 2016. https://doi.org/10.1214/16-STS583

Information

Published: November 2016
First available in Project Euclid: 19 January 2017

zbMATH: 06946246
MathSciNet: MR3598734
Digital Object Identifier: 10.1214/16-STS583

Keywords: reliability growth , Software testing , system reliability

Rights: Copyright © 2016 Institute of Mathematical Statistics

Vol.31 • No. 4 • November 2016
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