Quantitative and Intelligent Risk Models in Risk Management for Constructing Software Development Projects: A Review

Elzamly, Abdelrafe and Hussin, Burairah (2016) Quantitative and Intelligent Risk Models in Risk Management for Constructing Software Development Projects: A Review. International Journal of Software Engineering and Its Applications, 10 (2). pp. 9-20. ISSN 1738-9984

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Official URL: http://dx.doi.org/10.14257/ijseia.2016.10.2.02

Abstract

Techniques and models for mitigating risk in software development projects classified into three categories–namely, qualitative, quantitative, and intelligent approaches. This paper is to review the quantitative and intelligent risk models in software risk management for software development projects. Indeed, this area needs more effort from scholars and researchers in quantitative and intelligent risk models to mitigate risks. As future work, we will use these hybrid models of quantitative and intelligent for mitigating software risks in cloud computing such as neural network, genetic algorithm and others artificial intelligence techniques.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr. Abdelrafe Elzamly
Date Deposited: 25 Mar 2018 17:00
Last Modified: 25 Mar 2018 17:00
URI: http://scholar.alaqsa.edu.ps/id/eprint/453

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