Deep space network software cost estimation model
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TL;DR
A parametric software cost estimation model prepared for Deep Space Network (DSN) Data Systems implementation tasks is presented, which incorporates principles and data from a number of existing models.
Abstract
A parametric software cost estimation model prepared for Jet PRopulsion Laboratory (JPL) Deep Space Network (DSN) Data System implementation tasks is described. The resource estimation mdel modifies and combines a number of existing models. The model calibrates the task magnitude and difficulty, development environment, and software technology effects through prompted responses to a set of approximately 50 questions. Parameters in the model are adjusted to fit JPL software life-cycle statistics.