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2005
IEEE-ACM

Validation methods for calibrating software effort models

9 years 11 months ago
Validation methods for calibrating software effort models
COCONUT calibrates effort estimation models using an exhaustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effort estimation method yet yields PRED levels comparable to those other methods. Also, it does so with less project data and fewer attributes (no scale factors). However, a comparison between COCONUT and other methods is complicated by differences in the experimental methods used for effort estimation. A review of those experimental methods concludes that software effort estimation models should be calibrated to local data using incremental holdout (not jack knife) studies, combined with randomization and hypothesis testing, repeated a statistically significant number of times. Categories and Subject Descriptors D.2.9 [Software Engineering]: Time Estimation; K.6.3 [Software Management]: Software Process General Terms Management, measurement, economics, experimentation Keywords COCOMO, calibration, incremental c...
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn
Added 09 Dec 2009
Updated 09 Dec 2009
Type Conference
Year 2005
Where ICSE
Authors Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn, Sherry Stukes
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