Abstract
Software risks can be defined as uncertainty and loss in project process. Software risk management consists of risk identification, estimation, refinement, mitigation, monitoring and maintenance steps. In our study we focus on prediction of project problem effects that can cause loss in software project in terms of their values on risk factors and also we want to rank our risk factors to observe how they can give detail about project problem effects separately. For these purpose five classification methods for prediction of problem impact and two filter feature selection methods for ranking importance of risk factors are used in this study.
Keywords
Computer science
Project risk management
Ranking (information retrieval)
Software project management
Risk analysis (engineering)
Software
Risk management
Identification (biology)
Risk management plan
Data mining
Rank (graph theory)
Project management
Feature selection
Software metric
Risk assessment
Software development
Machine learning
Software quality
Project management triangle
Engineering
Systems engineering
IT risk management
Software construction
Mathematics
Subject Areas
Software Engineering Techniques and Practices
·Information Systems ·Physical Sciences
Software Engineering Research
·Information Systems ·Physical Sciences
Software Reliability and Analysis Research
·Software ·Physical Sciences
Citations by Year
2016: 1
2022: 1
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