Software component evaluation and selection using TOPSIS and fuzzy interactive approach under multiple applications development

Shilpi Verma (), Mukesh Kumar Mehlawat () and Divya Mahajan ()
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Shilpi Verma: University of Delhi
Mukesh Kumar Mehlawat: University of Delhi
Divya Mahajan: University of Delhi

Annals of Operations Research, 2022, vol. 312, issue 1, No 22, 471 pages

Abstract: Abstract In this paper, a two phase approach is proposed for decision-making situation that involves optimal software component evaluation and selection for designing component-based modular software system with multiple applications. In the first phase, components are evaluated using technique for order preference by similarity to ideal solution. In the second phase, a non-linear multi-objective optimization model is developed that facilitates the decision whether “to buy commercial-off-the-shelf components” or “to build in-house components” so that the total score of alternative components is maximized while the overall cost and delivery time of the system are minimized. Many critical parameters such as reliability of various applications, reusability and compatibility of the software components are considered simultaneously in the proposed optimization model. To determine a preferred compromise solution for the multi-objective optimization problem, a fuzzy interactive approach is used. Numerical illustrations based on a small-scale case study are presented to demonstrate usefulness of the proposed optimization model for optimal “build or buy” decisions in real-world applications.

Keywords: Multi-objective optimization model; TOPSIS; Optimal component selection; Fuzzy interactive approach (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-018-3022-9

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