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Patrick Dohrmann

Experienced Based Process Support via Dynamic Clustering and Progress Estimation

sse-doh11-1

Projects are persisting on different processes. Many projects
fail or are challenged[1] today because of wrong decisions and insufficient
tool support since they are made for the same set of processes in a certain
domain and are not adaptable to other processes of any other domain.
This paper introduces an approach and ideas to evolve support for a
process engineer in making progress decisions. Process information are
collected in an experience base, which is used for progress predictions and
decision making. In addition, a process engineer can give feedback to the
experience base to adapt progress prediction and analysis dynamically.
Therefore, clustering and data mining methods are applied to classify
and preprocess data.

Jahr

2011

Monat

September

Booktitle

Proceedings of 4th Workshop on Intelligent Techniques in Software Engineering

Datei

Experienced Based Process Support via Dynamic Clustering and Progress Estimation

Bibtex file

Download this publication as bibtex file

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