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Context-driven software project estimation

: Münch, J.; Heidrich, J.

International Symposium on Empirical Software Engineering, ISESE 2003. Poster and Research Demonstration Session
Rom, 2003
pp.15-16 : Ill., Lit.
International Symposium on Empirical Software Engineering (ISESE) <2, 2003, Rome>
Conference Paper
Fraunhofer IESE ()

Using quantitative data from past projects for software project estimation requires context knowledge that characterizes its origin and indicates its applicability for future use. This article sketches the SPRINT I technique for project planning and controlling. The underlying prediction mechanism is based on the identification of similar past projects and the building of so-called clusters with typical data curves. The article focuses on how to characterize these clusters with context knowledge and how to use context information from actual projects for prediction. The SPRINT approach is tool-supported and first evaluations have been conducted.