The Effects of CASE Tools on Software Development Effort
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Description: This paper provides an extended set of tool rating scales and uses them to improve the way CASE tools are effectively evaluated within COCOMO. A Bayesian approach was used to increase prediction accuracy. Contents include: software cost models and productivity impact, COCOMO II and CASE classification, research approach, Bayesian approach for model calibration, research model validation, and conclusions. Author(s) : Jongmoon Baik