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Using cluster curves to control software development projects

: Münch, J.; Heidrich, J.

International Symposium on Empirical Software Engineering, ISESE 2002. Proceedings. Vol.2: Poster and Research Demonstration Sessions
Nara, 2002
pp.13-14 : Ill., Lit.
International Symposium on Empirical Software Engineering (ISESE) <2002, Nara>
Conference Paper
Fraunhofer IESE ()
software development; software management; software controlling

Online interpretation and visualization of project data are gaining increasing importance on the long road towards predictable and controllable software project execution. This paper sketches the Sprint I controlling approach for software development projects and gives first evaluation results. The approach is grounded on the usage of context-oriented cluster curves and integrated in the framework of software project control centers.