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A RELIABILITY-CONSTRAINED SOFTWARE RELEASE POLICY USING A NON-GAUSSIAN KALMAN FILTER MODEL

Published online by Cambridge University Press:  27 February 2007

Ching-Ti Liu  and
Yen-Chang Chang
Ching-Ti Liu
Affiliation:
Department of Epidemiology and Public Health, Yale University, New Haven, CT, E-mail: ching-ti.liu@yale.edu
Yen-Chang Chang
Affiliation:
Department of Applied Mathematics, National Hsinchu University of Education, Hsinchu, Taiwan, Republic of China, E-mail: yenchang@mail.nhcue.edu.tw
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Abstract

Software reliability is one of important characteristics of software quality, and software release time is an important application of the software reliability model. In this article we consider a software release policy based on a Gamma-Gamma-type Kalman filter as well as the risk cost due to software failures and the cost for debugging in software systems. Under this model, the optimal release time that minimizes the expected cost in every test-debugging stage subject to a reliability constraint is discussed. An example to illustrate the framework of our model is given.

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 21 , Issue 2 , April 2007 , pp. 301 - 314
Copyright
© 2007 Cambridge University Press

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