Early Prediction of Project Schedule Slippage
ASSET '98 Proceedings of the 1998 IEEE Workshop on Application - Specific Software Engineering and Technology
Effect of staffing pattern on software project: An empirical analysis
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Empirical findings on team size and productivity in software development
Journal of Systems and Software
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Analysis of the research and development process has suggested improved techniques for estimating the anticipated effort requirements for engineering projects. logistic growth curves have been fitted to the time distribution of cumulative man-hours, and an effort-distribution array permits the extraction of meaningful information from historical cost records. These provide a consistent basis for adjusting current project schedules and making further estimates.