Neuro-Fuzzy Expert System for evaluating the performance of Distributed Software System Architecture
Expert Systems with Applications
Department of Information Technology, Bells University of Technology, Ota, Ogun State, Nigeria; Department of Computer Science and Information Systems, Mount Royal University, Calgary, Canada; Department of Computer Science and Technology, Bells Universit
A Neuro-Fuzzy Performance Evaluation Model (NFPEM) proposed in Akinnuwesi, Uzoka, Olabiyisi, and Omidiora (2012) was reviewed in this work with the view of modifying it and thus making it flexible and scalable. The neuro-fuzzy expert system (NFES) reported in this paper is an enhancement to NFPEM with expert system components. NFES can be used to evaluate the performance of Distributed Software System Architecture (DSSA) with user-centric variables as parameters for performance measurement. The algorithm developed for NFES was implemented using Coldfusion programming language and MySQL relational database management system. The prototype of NFES was simulated using some life data and the performance results obtained point to the DSSA responsiveness to the users' requirements that are defined at the requirements definition phase of the software development process. Thus the performance value is a qualitative value representing DSSA (i.e. system) responsiveness. © 2012 Elsevier Ltd. All rights reserved.
Distributed software system; Evaluation; Organizational variable; Performance; Responsiveness; Computer software; Database systems; Expert systems