research-article

Theories of Software Reliability: How Good Are They and How Can They Be Improved?

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B. LittlewoodAuthors Info & Claims

IEEE Transactions on Software Engineering, Volume 6, Issue 5

Pages 489 - 500

https://doi.org/10.1109/TSE.1980.230790

Published: 01 September 1980 Publication History

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Abstract

An examination of the assumptions used in early bug-counting models of software reliability shows them to be deficient. Suggestions are made to improve modeling assumptions and examples are given of mathematical implementations. Model verification via real-life data is discussed and minimum requirements are presented. An example shows how these requirements may be satisfied in practice. It is suggested that current theories are only the first step along what threatens to be a long road.

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Febrero FCalero CÁngeles Moraga M(2016)Software reliability modeling based on ISO/IEC SQuaREInformation and Software Technology10.1016/j.infsof.2015.09.00670:C(18-29)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.infsof.2015.09.006
Yazdanbakhsh ODick SReay IMace E(2016)On deterministic chaos in software reliability growth modelsApplied Soft Computing10.1016/j.asoc.2016.08.00649:C(1256-1269)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.asoc.2016.08.006
Wang JWu ZShu YZhang ZXue L(2014)A study on software reliability prediction based on triple exponential smoothing method (WIP)Proceedings of the 2014 Summer Simulation Multiconference10.5555/2685617.2685678(1-9)Online publication date: 6-Jul-2014
https://dl.acm.org/doi/10.5555/2685617.2685678
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cover image IEEE Transactions on Software Engineering

IEEE Transactions on Software Engineering Volume 6, Issue 5

September 1980

107 pages

ISSN:0098-5589

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IEEE Press

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Published: 01 September 1980

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Febrero FCalero CÁngeles Moraga M(2016)Software reliability modeling based on ISO/IEC SQuaREInformation and Software Technology10.1016/j.infsof.2015.09.00670:C(18-29)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.infsof.2015.09.006
Yazdanbakhsh ODick SReay IMace E(2016)On deterministic chaos in software reliability growth modelsApplied Soft Computing10.1016/j.asoc.2016.08.00649:C(1256-1269)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.asoc.2016.08.006
Wang JWu ZShu YZhang ZXue L(2014)A study on software reliability prediction based on triple exponential smoothing method (WIP)Proceedings of the 2014 Summer Simulation Multiconference10.5555/2685617.2685678(1-9)Online publication date: 6-Jul-2014
https://dl.acm.org/doi/10.5555/2685617.2685678
Bokhari MAhmad N(2006)Analysis of a software reliability growth modelsProceedings of the 17th IASTED international conference on Modelling and simulation10.5555/1167113.1167209(540-545)Online publication date: 24-May-2006
https://dl.acm.org/doi/10.5555/1167113.1167209
Mitchell BZeil S(1998)An experiment in estimating reliability growth under both representative and directed testingACM SIGSOFT Software Engineering Notes10.1145/271775.27178423:2(32-41)Online publication date: 1-Mar-1998
https://dl.acm.org/doi/10.1145/271775.271784
Mitchell BZeil SSoffa MYoung M(1998)An experiment in estimating reliability growth under both representative and directed testingProceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis10.1145/271771.271784(32-41)Online publication date: 1-Mar-1998
https://dl.acm.org/doi/10.1145/271771.271784
Mitchell BZeil S(1997)Modeling reliability growth during non-representativeAnnals of Software Engineering10.5555/590565.5905924:1-4(11-29)Online publication date: 29-Jan-1997
https://dl.acm.org/doi/10.5555/590565.590592
Podgurski AWeyuker EAdrion W(1997)Re-estimation of software reliability after maintenanceProceedings of the 19th international conference on Software engineering10.1145/253228.253245(79-85)Online publication date: 1-May-1997
https://dl.acm.org/doi/10.1145/253228.253245
Furuyama T(1996)Parameter Estimation of the Manifold Growth Model Using Z-graphProceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results10.5555/525586.823873Online publication date: 25-Mar-1996
https://dl.acm.org/doi/10.5555/525586.823873
Schneidewind N(1993)Software Reliability Model with Optimal Selection of Failure DataIEEE Transactions on Software Engineering10.1109/32.25685619:11(1095-1104)Online publication date: 1-Nov-1993
https://dl.acm.org/doi/10.1109/32.256856
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Stochastic reliability growth: A model with applications to computer software faults and hardware design faults

Stochastic reliability growth: A model with applications to computer software faults and hardware design faults

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