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.
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Chang, YC., Leu, LY. A State Space Model for Software Reliability. Annals of the Institute of Statistical Mathematics 50, 789–799 (1998). https://doi.org/10.1023/A:1003721232207
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DOI: https://doi.org/10.1023/A:1003721232207