The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering - Special issue on software reliability
Assessment and control of software risks
Assessment and control of software risks
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Analyzing effects of cost estimation accuracy on quality and productivity
Proceedings of the 20th international conference on Software engineering
Components of Software Development Risk: How to Address Them? A Project Manager Survey
IEEE Transactions on Software Engineering
Characterization of risky projects based on project managers' evaluation
Proceedings of the 22nd international conference on Software engineering
Software development risks to project effectiveness
Journal of Systems and Software
A Discipline for Software Engineering
A Discipline for Software Engineering
Software Engineering Risk Management: A Just-in-Time Approach
Software Engineering Risk Management: A Just-in-Time Approach
Death March: The Complete Software Developer's Guide to Surviving Mission Impossible Projects
Death March: The Complete Software Developer's Guide to Surviving Mission Impossible Projects
Estimation of project success using Bayesian classifier
Proceedings of the 28th international conference on Software engineering
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Troubleshooting large-scale new product development embedded software projects
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Characterization of runaway software projects using association rule mining
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Software project risk analysis using Bayesian networks with causality constraints
Decision Support Systems
Perceived causes of software project failures - An analysis of their relationships
Information and Software Technology
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During software development, projects often experience risky situations. If projects fail to detect such risks, they may exhibit confused behavior. In this paper, we propose a new scheme for characterization of the level of confusion exhibited by projects based on an empirical questionnaire. First, we designed a questionnaire from five project viewpoints, requirements, estimates, planning, team organization, and project management activities. Each of these viewpoints was assessed using questions in which experience and knowledge of software risks are determined. Secondly, we classify projects into "confused" and "not confused," using the resulting metrics data. We thirdly analyzed the relationship between responses to the questionnaire and the degree of confusion of the projects using logistic regression analysis and constructing a model to characterize confused projects. The experimental result used actual project data shows that 28 projects out of 32 were characterized correctly. As a result, we concluded that the characterization of confused projects was successful. Furthermore, we applied the constructed model to data from other projects in order to detect risky projects. The result of the application of this concept showed that 7 out of 8 projects were classified correctly. Therefore, we concluded that the proposed scheme is also applicable to the detection of risky projects.