2015
DOI: 10.1007/s10489-015-0673-y
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Abstract: In this paper, we study the commercial off-theshelf (COTS) products selection problem in COTS-based modular software systems with fuzzy parameters using chance-constrained multiobjective programming. The criteria used in this work are total cost, size, execution time, software reliability, delivery time, and compatibility issues among available COTS products. The COTS selection model presented herein simultaneously minimizes the total cost, size, and execution time of the modular software system at a credibili… Show more

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Cited by 8 publications
(1 citation statement)
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References 39 publications
(106 reference statements)
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“…The model formulated here is a multi-objective integer linear programming (MOILP) model. Of the different kinds of methods used to solve multi-objective models, the fuzzy interactive method is regarded as one of the most efficient because of its advantage in finding the optimization solution by measuring and adjusting the satisfaction degree of each objective function based on the decision makers' preferences (relative importance) for each objective (Mehlawat and Gupta, 2015; Pishvaee et al , 2012). A fuzzy interactive method, which uses an aggregation function proposed by Torabi and Hassini (2008), is applied to convert the original MOILP model into its equivalent single objective one in this research.…”
Section: Solution Techniquementioning
confidence: 99%
“…The model formulated here is a multi-objective integer linear programming (MOILP) model. Of the different kinds of methods used to solve multi-objective models, the fuzzy interactive method is regarded as one of the most efficient because of its advantage in finding the optimization solution by measuring and adjusting the satisfaction degree of each objective function based on the decision makers' preferences (relative importance) for each objective (Mehlawat and Gupta, 2015; Pishvaee et al , 2012). A fuzzy interactive method, which uses an aggregation function proposed by Torabi and Hassini (2008), is applied to convert the original MOILP model into its equivalent single objective one in this research.…”
Section: Solution Techniquementioning
confidence: 99%