Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11630
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dc.contributor.authorBali, Shivani-
dc.contributor.authorGupta, Anshu-
dc.contributor.authorDinesh Kumar, U-
dc.date.accessioned2020-04-20T13:40:57Z-
dc.date.available2020-04-20T13:40:57Z-
dc.date.issued2012-
dc.identifier.isbn9788132204862-
dc.identifier.isbn9788132204879-
dc.identifier.issn1867-5662-
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/11630-
dc.description.abstractComputers are used in diverse areas for various applications including air traffic control, nuclear reactors, industrial process control, hospital health care etc., affecting millions of people. As the functionality of computer operations become more essential and yet more critical, there is a great need for the development of modular software system. Component-Based Software Engineering (CBSE) is concerned with composing, selecting and designing components to satisfy a set of requirements while minimizing cost and maximizing reliability of the software system. This paper discusses the “Build-or-Buy” strategy for component selection in designing a software structure. A fuzzy multi objective optimization model for selecting components based on the dual objective of maximizing reliability and minimizing the overall cost of the software system under delivery time constraint is formulated. Numerical illustrations are provided to demonstrate the model developed.-
dc.publisherSpringer-
dc.relation.ispartofseriesAdvances in Intelligent and Soft Computing book series (AINSC, volume 130)-
dc.subjectBuild-Or-Buy-
dc.subjectConsensus Recovery Block Scheme-
dc.subjectFault Tolerant Software-
dc.subjectModular Software-
dc.subjectSoftware Reliability-
dc.titleFuzzy multi-objective build-or-buy approach for component selection of fault tolerant modular software system under consensus recovery block scheme-
dc.typeBook Chapter-
dc.identifier.doi10.1007/978-81-322-0487-9_94-
dcterms.isPartOfProceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 Volume 1-
dc.pages1025-1036p.-
dc.vol.noVol.130 AISC-
dc.issue.noIss.1-
Appears in Collections:2010-2019
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