During the last decade, an increasing number of researchers have attempted to address the problem of estimating software development effort. Recent empirical evaluations of the effort estimation models developed to date indicate two problems - model complexity and poor portability. A methodology that works on the notion of reduced dimensionality in the choice of a small set of site-relevant variables is presented. We contend that this methodology could incorporate model simplicity and site specificity in current estimation models. The working of our method is demonstrated and tested using the COCOMO data base. The ability of this method to estimate effort of projects within an acceptable relative error range is studied using discriminant analysis.
All Science Journal Classification (ASJC) codes
- Information Systems
- Hardware and Architecture