Decision support for customization of the COTS selection process

2005 ◽  
Vol 30 (4) ◽  
pp. 1-4
Author(s):  
Abdallah Mohamed ◽  
Guenther Ruhe ◽  
Armin Eberlein
Keyword(s):  
Decision Support ◽  
Selection Process ◽  
Cots Selection

scholarly journals Using Goals and Quality Models to Support the Matching Analysis During COTS Selection

2005 ◽  
pp. 146-156 ◽  
Author(s):  
Carina Alves ◽  
Xavier Franch ◽  
Juan P. Carvallo ◽  
Anthony Finkelstein
Keyword(s):  
Quality Models ◽  
Cots Selection

4.2.3 The Impact of Understanding the Need and Available Products in COTS Selection

2010 ◽  
Vol 20 (1) ◽  
pp. 465-476
Author(s):  
Timothy L.J. Ferris ◽  
Quoc Do
Keyword(s):  
The Impact ◽  
Cots Selection

A MEMBERSHIP FUNCTION APPROACH FOR COST-RELIABILITY TRADE-OFF OF COTS SELECTION IN FUZZY ENVIRONMENT

2011 ◽  
Vol 18 (06) ◽  
pp. 573-595 ◽  
Author(s):  
PANKAJ GUPTA ◽  
SHILPI VERMA ◽  
MUKESH KUMAR MEHLAWAT
Keyword(s):  
Real World ◽  
Fuzzy Optimization ◽  
Delivery Time ◽  
Minimum Threshold ◽  
Trade Off ◽  
Total Cost ◽  
Fuzzy Environment ◽  
Proposed Model ◽  
The Cost ◽  
Cots Selection

The optimization techniques used in commercial-off-the-shelf (COTS) selection process faces challenges to deal with uncertainty in many important selection parameters, for example, cost, reliability and delivery time. In this paper, we propose a fuzzy optimization model for selecting the best COTS product among the available alternatives for each module in the development of modular software systems. The proposed model minimizes the total cost of the software system satisfying the constraints of minimum threshold on system reliability, maximum threshold on the delivery time of the software, and incompatibility among COTS products. In order to deal with uncertainty in real-world applications of COTS selection, the coefficients of the cost objective function, delivery time constraints and minimum threshold on reliability are considered fuzzy numbers. The fuzzy optimization model is converted into a pair of mathematical programming problems parameterized by possibility (feasibility) level α using Zadeh's extension principle. The solutions of the resultant problems at different α-cuts provide lower and upper bounds of the fuzzy minimum total cost which helps in constructing the membership function of the cost objective function. The solution approach provide fuzzy solutions instead of a single crisp solution thereby giving decision maker enough flexibility in maintaining cost-reliability trade-off of COTS selection besides meeting other important system requirements. A real-world case study is discussed to demonstrate the effectiveness of the proposed model in fuzzy environment.

A New Policy for COTS Selection: Overcome the DSM Reliability Challenge

2011 ◽  
Vol 4 (2) ◽  
pp. 1475-1484 ◽  
Author(s):  
Florian Moliere ◽  
Alain Bravaix ◽  
Bruno Louis Foucher ◽  
Philippe Perdu
Keyword(s):  
Reliability Challenge ◽  
Cots Selection
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