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ACM SIGSOFT Software Engineering Notes
A framework for identifying software project risks
Communications of the ACM
Experiences in improving risk management processes using the concepts of the Riskit method
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IEEE Transactions on Software Engineering
An industrial case study of implementing software risk management
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Software project management in practice
Software project management in practice
A Methodology for Architecture-Level Reliability Risk Analysis
IEEE Transactions on Software Engineering
Software Risk Management: Principles and Practices
IEEE Software
An Enhanced Neural Network Technique for Software Risk Analysis
IEEE Transactions on Software Engineering
A Risk Assessment Model for Software Prototyping Projects
RSP '00 Proceedings of the 11th IEEE International Workshop on Rapid System Prototyping (RSP 2000)
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TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
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ICSM '03 Proceedings of the International Conference on Software Maintenance
Risk Management in Software Development Projects
Risk Management in Software Development Projects
Applied Software Risk Management
Applied Software Risk Management
A Neural Networks Approach for Software Risk Analysis
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Software Engineering: Barry W. Boehm's Lifetime Contributions to Software Development, Management, and Research (Practitioners)
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COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
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GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
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ICCSIT '08 Proceedings of the 2008 International Conference on Computer Science and Information Technology
Research on Risk Evaluation and Risk Optimization of IT Projects
ICIII '08 Proceedings of the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 01
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Risk assessment methods are one of the most important elements in the process of risk management. They are a vital element of software project management and software testing. Practitioners, particularly researchers, are interested in evaluation of these methods for their applicability, strengths, and weaknesses for particular scenarios. This paper surveys and analyzes several risk assessment methods from different perspectives. The paper characterizes the methods appearing in literature during a considerably large time span. The survey is expected to be helpful both to the practitioners and researchers in providing relevant information that could be used for improving the process of risk assessment or for developing new methods and it gives information that could be used in the evolution process of the risk assessment methods.