Abstract
There are some uncertain factors (i.e. environment factors) in the software development process which have direct or indirect influence on software reliability. This paper uses the Bayesian network to construct the software reliability qualitative evaluation topology structure based on the environment factors and analyzes the sensitivity of these influence factors by diagnosis reasoning of the Bayesian network for determining the environment factors which have important influence on the improvement of software reliability. The results of the sensitivity analysis may propose the decision reference for improving the resource allocation and the level of software reliability under the condition of resource restriction.
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Qiuying, L., Haifeng, L., Guodong, W. (2013). Sensitivity Analysis on the Influence Factors of Software Reliability Based on Diagnosis Reasoning. In: Du, Z. (eds) Intelligence Computation and Evolutionary Computation. Advances in Intelligent Systems and Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31656-2_78
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DOI: https://doi.org/10.1007/978-3-642-31656-2_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31655-5
Online ISBN: 978-3-642-31656-2
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