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Title:
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AN ALGORITHM FOR SOFTWARE RELIABILITY GROWTH MODEL SELECTION |
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Author(s):
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Hakan Burak Duygulu , Oğuz Tosun |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Software Reliability, Model Selection, Release Decisions |
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Type:
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Full Paper |
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First Page:
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115 |
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Last Page:
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122 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Software reliability is an important attribute for software quality. It is of prime importance for mission critical systems,
which demand high reliability. Thus reliability modeling of software products and predicting reliability via such models
at different phases of the software life cycle is of demand. To predict the reliability, a large number of software reliability
models have been proposed in the literature. Among those there does not exist a single model that fits best to all cases
and can universally be recommended. Therefore, recent works have been focused on selecting the reliability model that
best describes the collected failure data. In this study, an algorithm is proposed to serve as a guideline for software
reliability engineers to select the most appropriate software reliability growth model. Proposed algorithm combines the
strengths of the two previously published algorithms (Kharchenko, 2002), (Stringfellow, 2002) and further incorporates
novel ideas to provide enhancements on model selection process. The algorithm is tested with the publicly available data
and performance analysis is provided. |
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