Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
The Prediction Ability of Experienced Software Maintainers
CSMR '00 Proceedings of the Conference on Software Maintenance and Reengineering
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
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In the software development process, scheduling and predictability are important components to delivering a product on time and within budget. Effort estimation artifacts offer a rich data set for improving scheduling accuracy and for understanding the development process. Effort estimation data for 55 features in the latest release of Visual Studio Team System (VSTS) were collected and analyzed for trends, patterns, and differences. Statistical analysis shows that actual estimation error was positively correlated with feature size, and that in-process metrics of estimation error were also correlated with the final estimation error. These findings suggest that smaller features can be estimated more accurately, and that in-process estimation error metrics can be provide a quantitative supplement to developer intuition regarding high-risk features during the development process.