A state space model for software reliability

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27788

Title:	A state space model for software reliability
Authors:	Chang,YC;Leu,LY
Contributors:	統計研究所
Keywords:	BAYESIAN-ESTIMATION;UNIFICATION
Date:	1998
Issue Date:	2010-06-29 19:33:38 (UTC+8)
Publisher:	中央大學
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.
Relation:	ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
Appears in Collections:	[Graduate Institute of Statistics] journal & Dissertation

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