원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.10 No.2
2016.02
pp.9-20
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Failure of Software Projects
3. Principle of Risk Management
3.1. Concept of Risk
3.2. Risk Management
3.3. Concepts of Risk Management
3.4. Elements of Risk Management
3.5. Significance of Software Project Risk Management
3.6. Risk Management in Software Project
3.7. Element of Risk Management in Software Project
4. Quantitative Risk Models
5. Intelligent Risk Models
6. Conclusions
References
1. Introduction
2. Failure of Software Projects
3. Principle of Risk Management
3.1. Concept of Risk
3.2. Risk Management
3.3. Concepts of Risk Management
3.4. Elements of Risk Management
3.5. Significance of Software Project Risk Management
3.6. Risk Management in Software Project
3.7. Element of Risk Management in Software Project
4. Quantitative Risk Models
5. Intelligent Risk Models
6. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보