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A New Model for Software Reliability

2009 Fifth International Joint Conference on INC, IMS and IDC, 2009
As software being used in a larger scale, the problems of their reliability become more and more important. In addition to the design problems of the software itself, more attention was paid to the statistical law showed by the software reliability. As researches getting along, lots of patterns are raised.
Weiguo Li, Yongfu Wang, He Huang
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Software reliability model selection

[1991] Proceedings The Fifteenth Annual International Computer Software & Applications Conference, 2002
Model selection based on a predictive performance measure is compared to model selection based on maximum likelihood. Both procedures exhibit unstable relative performance when predictive performance is measured over time periods that may contain overly small proportions of total failures.
George J. Knafl, Jerome Sacks
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Criteria for software reliability model comparisons

ACM SIGSOFT Software Engineering Notes, 1983
A set of criteria is proposed for the comparison of software reliability models. The intention is to provide a logically organized basis for determining the superior models and for the presentation of model characteristics. It is hoped that in the future, a software manager will be able to more easily select the model most suitable for his/her ...
Anthony Iannino   +3 more
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Software Reliability Modeled on Contagion

2016 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2016
A new software reliability model based on the Polya contagion stochastic process is proposed. We model the failure detection process as a pure birth process with a failure rate that depends not just on time but on the number of failures previously detected, as it happens in the Polya process obtained as the asymptotic limit of the Polya urn model for ...
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An architectural model for software reliability quantification

Proceedings The Eighth International Symposium on Software Reliability Engineering, 1999
Software reliability assessment models in use today treat software as a monolithic block. An aversion towards "atomic" models seems to exist. These models appear to add complexity to the modeling, to the data collection and seem intrinsically difficult to generalize. This paper presents an architecturally based software reliability model and underlines
Carol S. Smidts   +2 more
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An Analysis of Competing Software Reliability Models

IEEE Transactions on Software Engineering, 1978
This paper examines the most widely used reliability models. The models discussed fall into two categories, the data domain and the time domain. Besides tracing the historical development of the various models their advantages and disadvantages are analyzed. This includes models based on discrete as weil as continuous probability distributions.
George J. Schick, Ray W. Wolverton
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Software reliability analysis models

IBM Journal of Research and Development, 1984
This paper discusses improvements to conventional software reliability analysis models by making the assumptions on which they are based more realistic. In an actual project environment, sometimes no more information is available than reliability data obtained from a test report.
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An introduction to software reliability modelling

2005
The motivation for the use of mathematical models in the analysis and prediction of software reliability evolution during the testing phase is discussed. Then, the basic reliability concepts, such as the hazard rate, the mean time to failure and so on, are introduced. Finally, the most important models used in software reliability are overviewed.
BITTANTI, SERGIO   +2 more
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Software reliability modeling and analysis

IEEE Transactions on Software Engineering, 1986
A discrete and, as approximation to it, a continuous model for the software reliability growth process are examined. The discrete model is based on independent multinomial trials and concerns itself with the joint distribution of the first occurrence time of its underlying events (bugs).
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Software faults, software failures and software reliability modeling

Information and Software Technology, 1996
Abstract As our understanding of the software development process improves, it is becoming clear that embedded faults are not placed in the software by random processes known only to nature. The location of these faults is closely related to measurable software complexity attributes.
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