Quantitative and intelligent risk models in risk management for constructing software development projects: A review

Burairah, Hussin and Abdelrafe, Elzamly (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

Text Quantitative and Intelligent Risk Models in Risk Management for Constructing Software Development Projects - A review.pdf - Published Version Restricted to Registered users only Download (406kB)

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
Uncontrolled Keywords:	Quantitative Risk Models, Intelligent Risk Models, Risk Management, Software Development Project
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	16 Aug 2016 02:58
Last Modified:	27 Jul 2023 16:18
URI:	http://eprints.utem.edu.my/id/eprint/16982
Statistic Details:	View Download Statistic

Actions (login required)

View Item