@inproceedings{fc3035f062cb43f4a7068f46c0cd4b4d,
title = "Entropy in design phase: A higraph-based model approach",
abstract = "The exponential growing effort, cost and time investment of complex systems in modeling phase emphasize the need for a methodology, a framework and a environment to handle the system model complexity. For that, it is necessary to be able to measure the system model entropy. This paper highlights the requirements a model needs to fulfill to match human user expectations. It suggests a hierarchical graphbased formalism for modeling complex systems and presents transformations to handle the underlying complexity. Finally, a way to measure system model structural complexity based on Shannon theory of information is proposed.",
keywords = "Complexity, Entropy, Higraph, Information theory, Metrics, System modeling",
author = "Hycham Aboutaleb and Bruno Monsuez",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th IEEE International Conference on Information Reuse and Integration, IRI 2017 ; Conference date: 04-08-2017 Through 06-08-2017",
year = "2017",
month = nov,
day = "8",
doi = "10.1109/IRI.2017.51",
language = "English",
series = "Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "526--534",
editor = "Latifur Khan and Balaji Palanisamy and Chengcui Zhang and Sarvestani, \{Sahra Sedigh\}",
booktitle = "Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017",
}