Mending a Change-Point Model for Software Reliability Assessment  
Author Shinji Inoue


Co-Author(s) Shigeru Yamada


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.


Keywords Software reliability growth model, Software reliability assessment, Change-point, Zero-truncated Poisson distribution, Nonhomogeneous Poisson process
    Article #:  20119
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.