A State Space Model for Software Reliability |
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Authors: | Yen-Chang Chang Lii-Yuh Leu |
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Affiliation: | (1) Graduate Institute of Statistics, National Central University, Chung-Li, Taiwan, Republic of China |
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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. |
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Keywords: | JM model linear exponential loss function Poisson distribution exponential distribution |
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