BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Standardization, requirements uncertainty and software project performance
Information and Management
A framework for identifying software project risks
Communications of the ACM
Components of Software Development Risk: How to Address Them? A Project Manager Survey
IEEE Transactions on Software Engineering
Software development risks to project effectiveness
Journal of Systems and Software
A robust and scalable clustering algorithm for mixed type attributes in large database environment
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Software Risk Management: Principles and Practices
IEEE Software
Managing risks in IT projects: an options perspective
Information and Management
Information Systems Research
Waltzing with Bears: Managing Risk on Software Projects
Waltzing with Bears: Managing Risk on Software Projects
Understanding software project risk: a cluster analysis
Information and Management
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Toward an assessment of software development risk
Journal of Management Information Systems - Special section: Strategic and competitive information systems
An empirical analysis of risk components and performance on software projects
Journal of Systems and Software
Software development risk and project performance measurement: Evidence in Korea
Journal of Systems and Software
Risk management in ERP project introduction: Review of the literature
Information and Management
Identifying Software Project Risks: An International Delphi Study
Journal of Management Information Systems
An Integrative Contingency Model of Software Project Risk Management
Journal of Management Information Systems
Why software fails [software failure]
IEEE Spectrum
International Journal of Information Management: The Journal for Information Professionals
Identifying high perceived value practices of CMMI level 2: An empirical study
Information and Software Technology
Software Process Improvement barriers: A cross-cultural comparison
Information and Software Technology
Information and Software Technology
An integrative framework for intelligent software project risk planning
Decision Support Systems
Software project risk analysis using Bayesian networks with causality constraints
Decision Support Systems
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Software projects often fail. Thus it is important to find ways to ensure a successful outcome. One significant area is a better understanding of the relationship between the software project duration and risk exposure, as this helps project managers with pertinent information to be effective in managing risky projects. We addressed this need by adopting a cluster analysis technique to provide managers with insight into effective planning and control of their projects. The results not only revealed that risk exposures associated with user, requirement, planning & control and team risk dimensions were affected by project duration, but also showed how to manage software risks effectively through observing trends in the risk components. Based on our findings, project managers can adopt appropriate attitudes, skills, and practices to deal with risky areas more effectively rather than just identifying those software risks with which project managers should be concerned.