A FRAMEWORK FOR DISCRETE SOFTWARE RELIABILITY MODELING WITH PROGRAM SIZE AND ITS APPLICATIONS

Shini Inoue and Shigeru Yamada
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Shini Inoue: Tottori University, 4-101 Minami, Koyama-cho, Tottori-shi, Tottori 680-8552, Japan
Shigeru Yamada: Tottori University, 4-101 Minami, Koyama-cho, Tottori-shi, Tottori 680-8552, Japan

Chapter 5 in Recent Advances in Stochastic Operations Research, 2007, pp 63-78 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractWe discuss a generalization framework for discrete software reliability growth models (SRGMs) with the effect of program size on software reliability growth process. Our framework enables us to develop a plausible discrete software reliability growth model with program size by applying a suitable software failure-occurrence times distribution to our framework. In this chapter generalized software reliability assessment measures are also derived. After that, we discuss a parameter estimation method of our modeling framework discussed in this chapter. Additionally, we discuss optimal software release problems based on a SRGM developed by using our framework as one of the application issues. Finally, we depict numerical illustrations for the software reliability assessment measures and for derived optimal release policies by using actual fault count data.

Keywords: Operations Research; Uncertainty; Applied Probability; Stochastic Process; Optimization; Decision Science (search for similar items in EconPapers)
Date: 2007
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