Software engineering metrics and models
Software engineering metrics and models
Software engineering: methods and management
Software engineering: methods and management
The capability maturity model: guidelines for improving the software process
The capability maturity model: guidelines for improving the software process
An experimental study of individual subjective effort estimation and combinations of the estimates
Proceedings of the 20th international conference on Software engineering
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Components of Software Development Risk: How to Address Them? A Project Manager Survey
IEEE Transactions on Software Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Benchmarking Kappa: Interrater Agreement in Software ProcessAssessments
Empirical Software Engineering
Assessing Project Success Using Subjective Evaluation Factors
Software Quality Control
SEL's Software Process Improvement Program
IEEE Software
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
Identification of Green, Yellow and Red Legacy Components
ICSM '98 Proceedings of the International Conference on Software Maintenance
Detection of software modules with high debug code churn in a very large legacy system
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
Assessing the Cost-Effectiveness of Inspections by Combining Project Data and Expert Opinion
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Practical Statistics for Medical Research
Practical Statistics for Medical Research
Estimation of project success using Bayesian classifier
Proceedings of the 28th international conference on Software engineering
Perceived productivity threats in large agile development projects
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Characterization of runaway software projects using association rule mining
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
A method for evaluation of learning components
Automated Software Engineering
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This paper presents a method for analyzing the impact software project factors have on project success as defined by project success factors that have been prioritized. It is relatively easy to collect measures of project attributes subjectively (i.e., based on expert judgment). Often Likert scales are used for that purpose. It is much harder to identify whether and how a large number of such ranked project factors influence project success, and to prioritize their influence on project success. At the same time, it is desirable to use the knowledge of project personnel effectively. Given a prioritization of project goals, it is shown how some key project characteristics can be related to project success. The method is applied in a case study consisting of 46 projects. For each project, six success factors and 27 project attributes were measured. Successful projects show common characteristics. Using this knowledge can lead to better control and software project management and to an increased likelihood of project success.