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
키워드
Quantitative Risk ModelsIntelligent Risk ModelsRisk ManagementSoftware Development Project
저자
Abdelrafe Elzamly [ Department of Computer Science, Al-Aqsa University, Palestine, Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM) ]
Corresponding Author
Burairah Hussin [ Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM) ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.2