Early prediction of software component reliability

The ability to predict the reliability of a software system early in its development, e.g., during architectural design, can help to improve the system's quality in a cost-effective manner. Existing architecture-level reliability prediction approaches focus on system-level reliability and assum...

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Vydané v:2008 ACM/IEEE 30th International Conference on Software Engineering Ročník 2008; číslo 24; s. 111 - 120
Hlavní autori: Cheung, L., Roshandel, R., Medvidovic, N., Golubchik, L.
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.01.2008
Predmet:
Buildings
Information analysis
Information resources
modeling
Predictive models
reliability prediction
Software architecture
Software engineering
Software reliability
Software systems
Stochastic processes
Uncertainty
ISBN:1424444861, 9781424444861, 1605580791, 9781605580791
ISSN:0270-5257
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Shrnutí:The ability to predict the reliability of a software system early in its development, e.g., during architectural design, can help to improve the system's quality in a cost-effective manner. Existing architecture-level reliability prediction approaches focus on system-level reliability and assume that the reliabilities of individual components are known. In general, this assumption is unreasonable, making component reliability prediction an important missing ingredient in the current literature. Early prediction of component reliability is a challenging problem because of many uncertainties associated with components under development. In this paper we address these challenges in developing a software component reliability prediction framework. We do this by exploiting architectural models and associated analysis techniques, stochastic modeling approaches, and information sources available early in the development lifecycle. We extensively evaluate our framework to illustrate its utility as an early reliability prediction approach.
Bibliografia:SourceType-Scholarly Journals-2
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ObjectType-Conference Paper-1
content type line 23
SourceType-Conference Papers & Proceedings-1
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ISBN:1424444861
9781424444861
1605580791
9781605580791
ISSN:0270-5257
DOI:10.1145/1368088.1368104