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

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 pre...

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Bibliographic Details
Published in:Annals of operations research 2022-05, Vol.312 (1), p.441-471
Main Authors: Verma, Shilpi, Mehlawat, Mukesh Kumar, Mahajan, Divya
Format: Article
Language:English
Subjects:
Applications programs
Business and Management
Buy or make decisions
Combinatorics
Commercial off-the-shelf technology
Component reliability
Decision making
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Mathematical models
Modular design
Modular systems
Multiple criteria decision making
Multiple objective analysis
Operations research
Operations Research/Decision Theory
Optimization
Optimization models
S.I.: Statistical Reliability Modeling and Optimization
Software
Software reliability
Software reuse
Studies
Theory of Computation
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Summary: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.
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-018-3022-9