International Society of Science and Applied Technologies |
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Mending a Change-Point Model for Software Reliability Assessment | ||||
Author | Shinji Inoue
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Co-Author(s) | Shigeru Yamada
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Abstract | We discuss a change-point software reliability growth model, in which the probability distribution of the initial fault content follows a zero-truncated Poisson distribution. Our modeling approach in this paper can derive the mean time between software failures, which is one of the important reliability assessment measures and is not able to derive in the usual nonhomogeneous Poisson process modeling. This paper also show numerical examples of application of our proposed change-point model to software reliability assessment by using actual fault counting data.
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Keywords | Software reliability growth model, Software reliability assessment, Change-point, Zero-truncated Poisson distribution, Nonhomogeneous Poisson process | |||
Article #: 20119 |
August 7-9, 2014 - Seattle, Washington, U.S.A. |