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Uncertainty explicit assessment of off-the-shelf software: Selection of an optimal diverse pair

Gashi, I. & Popov, P. T. (2007). Uncertainty explicit assessment of off-the-shelf software: Selection of an optimal diverse pair. In: ICCBSS 2007: SIXTH INTERNATIONAL IEEE CONFERENCE ON COMMERCIAL-OFF-THE-SHELF (COTS)-BASED SOFTWARE SYSTEMS, PROCEEDINGS. Sixth International IEEE Conference on Commercial-off-the-Shelf (COTS)-Based Software Systems, 26 Feb - 2 Mar 2007, Banff, Canada.


Assessment of software COTS components is an essential part of component-based software development. Sub-optimal selection of components may lead to solutions with low quality. The assessment is based on incomplete knowledge about the COTS components themselves and other aspects, which may affect the choice such as the vendor's credentials, etc. We argue in favor of assessment methods in which uncertainty is explicitly represented (`uncertainty explicit' methods) using probability distributions. We have adapted a model (developed elsewhere by Littlewood, B. et al. (2000)) for assessment of a pair of COTS components to take account of the fault (bug) logs that might be available for the COTS components being assessed. We also provide empirical data from a study we have conducted with off-the-shelf database servers, which illustrate the use of the method.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Departments: School of Science & Technology > Computer Science > Software Reliability
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