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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Today we live in the world which is revolutionised by technology. Technology has become part of our everyday life: from accomplishing a simple task like turning on a light bulb to launching satellites, technology has become an inseparable part of everyone’s life. In order to be able to use this technology reliably, the software which with we interact with technology needs to be reliable. Software reliability refers to probability that a software execution will be as expected under specified terms and conditions in a given amount of time without any fail. Software reliability is measured using software reliability growth models. Overtime hundreds of models have been developed so far. This paper aims to review and examine several different non-homogenous Poisson process software reliability growth models.
Keyword
Software reliability, non-homogenous Poisson process, Software Reliability Growth Models.
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