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Sensitvity analysis of bayesian networks in cots- based software development

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dc.contributor.author DARADKEH, Yousef
dc.contributor.author BORDIER, Andrei
dc.date.accessioned 2024-01-15T12:23:03Z
dc.date.available 2024-01-15T12:23:03Z
dc.date.issued 2009
dc.identifier.citation DARADKEH, Yousef, BORDIER, Andrei. Sensitvity analysis of bayesian networks in cots- based software development. In: Microelectronics and Computer Science: proc. 6th International Conference, 1-3 Oct. 2009, Chişinău, Republica Moldova, vol. 1, 2009, pp. 432-439. ISBN 978-9975-45-045-4. ISBN 978-9975-45-122-2 (vol. 1). en_US
dc.identifier.isbn 978-9975-45-045-4
dc.identifier.isbn 978-9975-45-122-2
dc.identifier.uri http://repository.utm.md/handle/5014/25850
dc.description.abstract These The process of developing software applications by integrating one or more Commercial Off-The-Shelf (COTS) components has received much attention lately because it provides potential benefits including shortening the development time, reducing effort and shrinking budgets as well as improving the quality of the final product. However, COTS-based development (hereafter CBD) in particular the evaluation and selection of COTS components, which is an essential activity in CBD, is not a trivial task and associated with various challenges. One of the most critical challenges is uncertainty inherent to COTS-related information and their vendors. Ignoring the uncertainty challenge negatively influences the quality of COTS selection decisions. In this paper, a bayesian-based evaluation model (proposed elsewhere [8]) is extended to allow the allocation of various weights to evaluation criteria. We also investigate the impact of using various weights on the belief about the satisfaction level for various COTS candidates. Furthermore, the paper shows how the analytic hierarchy process (hereafter AHP) is used along with the model to rank various candidates. A digital library system is selected as an example to illustrate how the model along with AHP help decision makers to select the most promising COTS candidate. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartof Proceeding of the 6th International Conference on "Microelectronics and Computer Science", oct.1-3, 2009, Chişinău, Moldova
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject commercial off-the-shelf (COTS) en_US
dc.subject sensitivity analysis control en_US
dc.subject bayesian belief networks en_US
dc.subject software development en_US
dc.title Sensitvity analysis of bayesian networks in cots- based software development en_US
dc.type Article en_US


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