Towards Adaptive Flexibility in Automation Systems

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Details

Complex software systems typically have a modular structure, from which the modules are possibly developed in a distributed manner. These modules need to collaborate to fulfill their functional tasks. This implies that modules have an impact on other modules, via the coupling they need to collaborate. Changes or extensions in such a system often cause an exponential increase of development, maintenance and test costs. Consequently, the integration of innovative ideas in the existing system is restrained. In this work the application of Normalized Systems Theory in the domain of automation systems was investigated. How should this theory be applied? What implications can be expected for typical development environments, architectures and existing industrial standards? Is it possible to introduce constraints on existing system in order to achieve a higher evolvability? This research started from a number of reference models, i.e., three industrial standards and the Normalized Systems Elements, which are theoretic definitions of evolvable software building blocks. The results include software artifacts that comply both with the industrial standards and Normalized Systems Theory.

Autorentext

Dr. ing. Dirk van der Linden became engineer in 1991, and worked in industry to develop automation systems for several years. He received his PhD degree in June 2014 with his research results on evolvable software. Since January 2015 he works for the OWI-Lab at VUB as a research and development engineer for monitoring systems of wind turbines.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659709951
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 208
    • Genre Software
    • Sprache Englisch
    • Gewicht 328g
    • Autor Dirk van der Linden
    • Größe H220mm x B150mm x T14mm
    • Jahr 2015
    • EAN 9783659709951
    • Format Kartonierter Einband
    • ISBN 3659709956
    • Veröffentlichung 29.05.2015
    • Titel Towards Adaptive Flexibility in Automation Systems

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