Modelling of Non-linear Multi-objective Programming and TOPSIS in Software Quality Assessment Under Picture Fuzzy Framework

Sameer Anand (), Ritu Bibyan () and Aakash
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Sameer Anand: University of Delhi
Ritu Bibyan: University of Delhi
Aakash: University of Delhi

A chapter in Optimization Models in Software Reliability, 2022, pp 323-339 from Springer

Abstract: Abstract The open-source software (OSS) market comprises of thousands of products and applications with different quality. The primary concern of the individuals and organizations is to evaluate the quality OSS products and packages. In this chapter, we have demonstrated a MCDM based model to assess the quality of OSS by taking performance and cost-based criteria related with OSS to analyze its quality on the basis of feedback gathered from the users and the experts. To avoid the uncertainty attached with the opinion of the expert, the Maximum-Entropy-Minimum-Variance-Ordered-Weighted-Aggregation (MEMV-OWA) operator has been incorporated. The criteria weights are calculated by solving a non-linear multi-objective programming problem proposed in the MEMV-OWA operator. The picture fuzzy set information has been used which is an addendum of intuitionistic fuzzy set, representing the human opinion more precisely. In this chapter, we have proposed a model named MEMV-OWA-PF-TOPSIS (Maximum Entropy Minimum Variance-Ordered Weighted Aggregation-Picture-Fuzzy-TOPSIS). A step by step procedure has been exhibited to show its implementation in real-life problems. A numerical illustration related to the software quality assessment of OSS on the basis of their performance and cost-based criteria has also been provided in this study.

Keywords: Software quality assessment; Uncertainty; TOPSIS; MEMV-OWA; Picture fuzzy set (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-78919-0_14

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