Software Effort Models for Early Estimation of Process Control Applications

Authors:
Tridas Mukhopadhyay;Sunder Kekre
Affiliations:
Carnegie Mellon Univ., Pittsburgh, PA;Carnegie Mellon Univ., Pittsburgh, PA
Venue:
IEEE Transactions on Software Engineering
Year:
1992

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Abstract

Models are developed to estimate lines of code and function counts directly from user application features of process control systems early in the software development lifecycle. Since the application features are known with reasonable degree of confidence during early stages of development, it is possible to extend the use of the constructive cost model (COCOMO) and function-points-based approach for early software cost estimation. Alternative feature-based models that estimate size and effort using application features and productivity factors are developed. The feature-based models have been shown to estimate software effort with the least error.