Reliability is one of the most critical and fundamental aspects while evaluating any software. With the rapid growth in the use of software, the issues concerning the trustworthiness of the software are also increasing. This provides the authors, the motivation to evaluate the software systems fiducially through the implementation of entropy based on the combination weights (CW) methods These weights are the result of mathematical computation and are based on experts¿ opinion. The entropy-based approach enables the authors to determine the degree of criteria as per experts¿ judgment and also remove the biases in the weights, by providing objective weights. On contrary the Analytic Hierarchy Process (AHP) has been considered as principal precise methods for decision making with multiple criteria that have been extensively considered in the operations research literature as well as useful to solve countless real-world problems. The result of this research contributes to providing better judgments by imparting decision information to the decision-makers and also illustrates the robustness of this approach.

Dr. Manu Banga has 10 years of experience in dealing with machine learning problems and research projects under DST India, having 2 patents and developed new intelligent software system for defect prediction using machine learning.