Software development effort estimation: Difference between revisions

Revision as of 18:08, 13 May 2010

Revision as of 20:30, 26 June 2010

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}}</ref> and Nelson <ref>Nelson, E. A. (1966). Management Handbook for the Estimation of Computer Programming Costs. AD-A648750, Systems Development Corp.</ref>.

Most of the research has focused on the construction of formal software effort estimation models. The early models were typically based on [[regression analysis]] or mathematically derived from theories from other domains. Since then a high number of model building approaches have been evaluated, such as approaches founded on [[case-based reasoning]], classification and [[regression trees]], [[simulation]], [[neural networks]], [[Bayesian statistics]], [[lexical analysis]] of requirement specifications, [[genetic programming]], [[linear programming]], economic production models, [[soft computing]], [[fuzzy logic]] modeling, statistical [[bootstrapping]], and combinations of onetwo or more of these models. The perhaps most common estimation products today, e.g., the formal estimation models [[COCOMO]] and SLIM have their basis in estimation research conducted in the 1970s and 1980s. The estimation approaches based on functionality-based size measures, e.g., [[function points]], is also based on research conducted in the 1970s and 1980s, but are re-appearing with modified size measures under different labels, such as “use case points” <ref>{{cite web

| author = Anda, B. Angelvik, E. Ribu, K.

| title = Improving Estimation Practices by Applying Use Case Models