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Massachusetts Institute of Technology

Complexity measures for system architecture models

Abstract

dc:description.abstract

This thesis lays the necessary groundwork for measuring the complexity of systems architecture models. We propose a set of complexity measures, which are usable with models defined using the Object-Process Model (OPM). In order to do this, we introduce a new concept of interface complexity multiplier for compensating the hidden information at interfaces. We also define a set of complexity metrics for system architecture models. We also develop models for three different systems for mobile entertainment. The purpose of these models is to show how OPM is suitable for modeling such systems and also to provide some comparative material for complexity measurements. We use the new metrics to determine the complexity of the models of mobile entertainment systems. The thesis also contains a rigorous definition of complexity and a survey of existing complexity measurement methods.

Degree

thesis:*
Department dc:contributor.department
System Design and Management Program.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kinnunen, Matti J. (Matti Juhani)
Advisor dc:contributor.advisor
  • Edward Crawley.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/35109
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/35109

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kinnunen, Matti J. (Matti Juhani). Complexity measures for system architecture models. Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35109