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DOI: 10.14569/IJACSA.2019.0100220
PDF

Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk

Author 1: Mohammad Ahmad Ibraigheeth
Author 2: Syed Abdullah Fadzli

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 2, 2019.

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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.

Keywords: Risk assessment; critical success factors; fuzzy expert systems; fuzzy rule-base; risk probability

Mohammad Ahmad Ibraigheeth and Syed Abdullah Fadzli, “Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100220

@article{Ibraigheeth2019,
title = {Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100220},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100220},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Mohammad Ahmad Ibraigheeth and Syed Abdullah Fadzli}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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