Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 2
Abstract
This paper presents an expert risk evaluation system developed and based on up-to-date empirical study that uses a real data from huge number of software projects to identify the most factors that affect the project success. Software project can be affected by a range of risk factors through all phases of the development process. Therefore, it has become necessary to consider risk concerns while developing the software project. Risk assessment and management play a significant role in avoiding failure of the software project, and can help in mitigating the effect of the undesirable events that could affect the project outcomes. In this paper, the researchers have developed a novel expert fuzzy-logic tool that can be used by project decision makers to evaluate the expected risks .The developed tool helps in estimating the risk probability based on the software project’s critical success factors. A user-friendly interface is created to enable the project managers to perform general risk evaluation during any stage of the software development process. The proposed tool can be helpful in achieving effective risk control, and therefore improving the overall project outcomes.
Authors and Affiliations
Mohammad Ahmad Ibraigheeth, Syed Abdullah Fadzli
Keywords
Related Articles
- EP ID EP468304
- DOI 10.14569/IJACSA.2019.0100220
- Views 86
- Downloads 0
Sentiment Analysis Using Deep Learning Techniques: A Review
The World Wide Web such as social networks, forums, review sites and blogs generate enormous heaps of data in the form of users views, emotions, opinions and arguments about different social events, products, brands, and...
Neutrosophic Relational Database Decomposition
In this paper we present a method of decomposing a neutrosophic database relation with Neutrosophic attributes into basic relational form. Our objective is capable of manipulating incomplete as well as inconsistent infor...
A New Motion Planning Framework based on the Quantized LQR Method for Autonomous Robots
This study addresses an argument on the disconnection between the computational side of the robot navigation problem with the control problem including concerns on stability. We aim to constitute a framework that include...
Hybrid Multi-faceted Computational Trust Model for Online Social Network (OSN)
Online Social Network (OSN) is an online social platform that enables people to exchange information, get in touch with family members or friends, and also helps as a marketing tool. However, OSN suffers from various sec...
Application of Fuzzy Abduction Technique in Aerospace Dynamics
The purpose of this paper is to apply Fuzzy Abduction Technique in aerospace dynamical problem. A model of an aeroplane is proposed for consideration at different air density level of the atmosphere and at different spee...