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A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations
- Source :
- International Journal of Information Technology & Decision Making. 18:339-364
- Publication Year :
- 2019
- Publisher :
- World Scientific Pub Co Pte Lt, 2019.
-
Abstract
- Studies on software risk response theories and methods play an important role in improving the success rate of software project. With the requirement of software risk management, the existing single-objective risk response strategies section model is difficult to manage software risks effectively. This paper regards software risk response cost and software risk exposure as optimization objectives and proposes a multiobjective risk response strategies optimization model for software project. Furthermore, it analyzes the risk correlation from the perspective of risk probability dependence and risk loss interaction and puts forward a multiobjective risk response strategies optimization model for software project from the perspective of risk correlation. Empirical analysis results show that there is a trade-off relationship between the software risk exposure and software risk response cost. The software manager can identify the corresponding optimal risk response strategies according to the actual risk response budget. The results also indicate that the consequence of the multiobjective risk response strategies optimization model for software project considering risk correlation can better describe the actual situation of risk management.
- Subjects :
- 021110 strategic, defence & security studies
Computer science
business.industry
Perspective (graphical)
0211 other engineering and technologies
Software risk management
02 engineering and technology
Multi-objective optimization
Software risk
Software
Risk analysis (engineering)
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
020201 artificial intelligence & image processing
business
Risk response
Subjects
Details
- ISSN :
- 17936845 and 02196220
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Information Technology & Decision Making
- Accession number :
- edsair.doi...........82b8bb8bcea00584e9ca1736d31f7ac6