Empirical studies of assumptions that underlie software cost-estimation models
Information and Software Technology
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
Software development cost estimation approaches – A survey
Annals of Software Engineering
Determining Software Schedules
Computer
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Predicting project delivery rates using the Naive-Bayes classifier
Journal of Software Maintenance: Research and Practice
An empirical study of maintenance and development estimation accuracy
Journal of Systems and Software
Building A Software Cost Estimation Model Based On Categorical Data
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
An Empirical Validation of the Relationship Between the Magnitude of Relative Error and Project Size
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
How Valuable is company-specific Data Compared to multi-company Data for Software Cost Estimation?
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Software Process and Product Measurement
Comparison of estimation methods of cost and duration in IT projects
Information and Software Technology
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
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Based on the empirical analysis of data contained in the International Software Benchmarking Standards Group (ISBSG) repository, this paper presents software engineering project duration models based on project effort. Duration models are built for the entire dataset and for subsets of projects developed for personal computer, mid-range and mainframe platforms. Duration models are also constructed for projects requiring fewer than 400 person-hours of effort and for projects requiring more than 400 person-hours of effort. The usefulness of adding the maximum number of assigned resources as a second independent variable to explain duration is also analyzed. The opportunity to build duration models directly from project functional size in function points is investigated as well.