Software Reliability Growth Model Selection by using VIKOR Method Based on q-Rung Orthopair Fuzzy Entropy and Distance Measures
Farhan Mateen, Asim Munir, Muhammad Nadeem · Research Square · 2023
Abstract Several software reliability growth models (SRGMs) have been proposed in recent years to predict the reliability of software measures such the number of remaining defects, the failure rate of the program, and the dependability of the software. Since they rely on a small set of model selection criteria, the tools and approaches for choosing robust software models found in the literature cannot be employed with great confidence. A crucial challenge is how to prioritize software reliability growth models (SRGMs) using multi-attribute decision-making (MADM). Ultimately, ambiguities and uncertainties in any MADM approach are critical problems. To overcome this, numerous notions and approaches were investigated and a q-Rung orthopair fuzzy set (q-ROFS) is one of the most significant and impressive tools to manage ambiguities and uncertainties. Thus, in this article, for the prioritization of SRGMs, we first, investigate entropy measures (EMs) in the environment of q-ROFS and prove its associated properties. We also investigate tangent distance measures in the setting of q-ROFS and prove the linked properties. After that, we interpret a VIKOR approach in the setting of q-ROFS based on the investigated measures to tackle MADM problems. Through this VIKOR approach in this article, we exhibit the prioritization of SRGMS with the assistance of a numerical example. In order to show that the suggested approaches are more effective and beneficial than the current methodologies, a numerical example of the proposed methodology is shown, along with a detailed comparison of the investigated models with some of the existing methodologies.