Measuring Complexity of System/Software Architecture Using Higraph-Based Model

Hycham Aboutaleb, Bruno Monsuez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 complexity. This paper highlights the requirements a model needs to fulfill to match human user expectations. It suggests a hierarchical graph-based formalism for modeling complex systems and presents transformations to handle the underlying complexity. Finally, a way to measure complexity based on Shannon theory of information is proposed and applied to an example.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
EditorsOscar Castillo, Craig Douglas, S. I. Ao, David Dagan Feng, A. M. Korsunsky
PublisherNewswood Limited
Pages92-96
Number of pages5
ISBN (Electronic)9789881404732
Publication statusPublished - 1 Jan 2017
Event2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
Duration: 15 Mar 201717 Mar 2017

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2227
ISSN (Print)2078-0958

Conference

Conference2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017
Country/TerritoryHong Kong
CityHong Kong
Period15/03/1717/03/17

Keywords

  • Complexity
  • Graph transformations
  • Higraph
  • System Modeling

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