COMPLEXITY MEASUREMENT OF PRODUCT MODELS

Stephan Große Austing, Axel Hahn

2010

Abstract

Complexity management in product development is a challenging task. Modelling the relations in and between partial models from different domains in an integrated semantic product model is a step towards complexity awareness. However it still lacks the quantitative measurement of the overall complexity which can be used to compare product models and control development progress. In this paper we present an approach to evaluate the impact of relations on the overall complexity which results into a complexity measure. The approach is based on a regression model created from a RDF/OWL graph.

Paper Citation

in Harvard Style

Große Austing S. and Hahn A. (2010). COMPLEXITY MEASUREMENT OF PRODUCT MODELS . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 404-407. DOI: 10.5220/0003097404040407

in Bibtex Style

@conference{keod10,
author={Stephan Große Austing and Axel Hahn},
title={COMPLEXITY MEASUREMENT OF PRODUCT MODELS},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={404-407},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003097404040407},
isbn={978-989-8425-29-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - COMPLEXITY MEASUREMENT OF PRODUCT MODELS
SN - 978-989-8425-29-4
AU - Große Austing S.
AU - Hahn A.
PY - 2010
SP - 404
EP - 407
DO - 10.5220/0003097404040407