Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/12051
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jha, P C | |
dc.contributor.author | Arora, A | |
dc.contributor.author | Dinesh Kumar, U | |
dc.date.accessioned | 2020-05-05T14:15:51Z | - |
dc.date.available | 2020-05-05T14:15:51Z | - |
dc.date.issued | 2011 | |
dc.identifier.issn | 2160-8830 | |
dc.identifier.issn | 2160-8849 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/12051 | - |
dc.description.abstract | Software projects generally have to deal with producing and managing large and complex software products. 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 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 fuzzy approach for component selection using “Build-or-Buy” strategy in designing a software structure. We introduce a framework that helps developers to decide whether to buy or build components. In case a commercial off-the-shelf (COTS) component is selected then different versions are available for each alternative of a module and only one version will be selected. If a component is an in-house built component, then the alternative of a module is selected. Numerical illustrations are provided to demonstrate the model developed. | |
dc.publisher | Scientific Research | |
dc.subject | Modular Software | |
dc.subject | Software Reliability | |
dc.subject | Software Components (COTS and In-House) | |
dc.subject | Fault Tolerance & Fuzzy Optimization | |
dc.title | A fuzzy approach for component selection amongst different versions of alternatives for a Fault Tolerant modular software system | |
dc.type | Journal Article | |
dc.identifier.doi | 10.4236/ajor.2011.14029 | |
dc.pages | 249-258p. | |
dc.vol.no | Vol.1 | - |
dc.issue.no | Iss.4 | - |
dc.journal.name | American Journal of Operations Research | |
Appears in Collections: | 2010-2019 |
Files in This Item:
File | Size | Format | |
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Kumar_AJOR_2011_Vol.1_Iss.4.pdf | 327.34 kB | Adobe PDF | View/Open Request a copy |
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