A State Space Model for Software Reliability

Authors: Chang Y-C.; Leu L-Y.

Source: Annals of the Institute of Statistical Mathematics, Volume 50, Number 4, December 1998 , pp. 789-799(11)

Publisher: Springer

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Abstract:

In this paper, we propose a non-Gaussion state space model to apply in software reliability. This model assumes an exponential distribution for the failure time in every test-debugging stage, conditionally on the state parameter — the number of faults in the program. It is a generalized JM model which can be applied to the imperfect debugging situation as well as in evolving programs. By examining a set of data on evolving program failures, the effect of evolving program model is amply proved.

Keywords: JM model; linear exponential loss function; Poisson distribution; exponential distribution

Language: English

Document Type: Regular paper

Affiliations: 1: Graduate Institute of Statistics, National Central University, Chung-Li, Taiwan, Republic of China

Publication date: 1998-12-01