Open AccessEstimating Performance of Intelligent Software Systems
Author(s) -
Manu Banga*,
Abhay Bansal,
Archana Singh
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4264.098319
Subject(s) - analytic hierarchy process , computer science , software , robustness (evolution) , trustworthiness , entropy (arrow of time) , software quality , data mining , management science , software development , operations research , mathematics , engineering , biochemistry , chemistry , physics , computer security , quantum mechanics , gene , programming language
Reliability is one of the most critical and fundamental aspect 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 biasness 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 has been extensively considered in the operations research literature as well as useful to solve countless real-world problems. The result of this research contributes in providing better judgments by imparting decision information to the decision makers and also illustrates the robustness of this approach.