Curve Fitting for a Model of Applied Research and Development Scheduling

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.