An experimental study of individual subjective effort estimation and combinations of the estimates
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
Software Engineering Economics
Software Engineering Economics
Benchmarking Kappa: Interrater Agreement in Software ProcessAssessments
Empirical Software Engineering
Assessing and Understanding Efficiency and Success of SoftwareProduction
Empirical Software Engineering
Assessing Project Success Using Subjective Evaluation Factors
Software Quality Control
SEL's Software Process Improvement Program
IEEE Software
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Fault links: exploring the relationship between module and fault types
EDCC'05 Proceedings of the 5th European conference on Dependable Computing
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Project success is influenced by many factors. Some are primary drivers of project success, others secondary. However, these secondary factors may be no less important to understand and learn from than the primary factors. In addition, project success drivers are often qualitative and subjective, eluding analysis through traditional statistical methods. This paper presents a method that analyses the influence and nature of primary and lower order project success drivers. A case study illustrates the usefulness of this analysis and the additional understanding gained from including lower order success drivers in the analysis. The method extends existing work that has been restricted to primary drivers.