A Reliability-Constrained Software Release Policy Using A Non-Gaussian Kalman Filter Model

Authors:
Ching-Ti Liu;Yen-Chang Chang
Affiliations:
Department of Epidemiology and Public Health, Yale University, New Haven, CT, E-mail: ching-ti.liu@yale.edu;Department of Applied Mathematics, National Hsinchu University of Education, Hsinchu, Taiwan, Republic of China, E-mail: yenchang@mail.nhcue.edu.tw
Venue:
Probability in the Engineering and Informational Sciences
Year:
2007

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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.