원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.11
2015.11
pp.247-262
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The risk of software projects is measured in terms of cost that is needed to abate the risk. Traditional practice to measure the risk of software projects uses risk exposure; however, risk measure cannot quantify the risk beyond the expected value of cost. Software project managers are keen to quantify the risk based on a certain probability which is beyond the expected value of the cost. This research work presents a model to measure the risk based on certain probability beyond the expectation. A case-study validates that proposed model shows an improvement in the measurement of risk of real software projects compared to the actual risk of software projects.
목차
Abstract
1. Introduction
1.2. Risk Measurement
2. Software Risk Measure Model
2.1. Model Characteristics
2.2. Model Construction
2.3. Discussion
3. Model Validation
3.1. Fidelity Test
3.2. Scalability Test
4. A Case Study of Software Projects
4.1. Case Study Design
4.2. Case Study Results
5. Conclusions
References
APPENDIX
1. Introduction
1.2. Risk Measurement
2. Software Risk Measure Model
2.1. Model Characteristics
2.2. Model Construction
2.3. Discussion
3. Model Validation
3.1. Fidelity Test
3.2. Scalability Test
4. A Case Study of Software Projects
4.1. Case Study Design
4.2. Case Study Results
5. Conclusions
References
APPENDIX
저자정보
참고문헌
자료제공 : 네이버학술정보