The Handbook of Engineering Self-Aware and Self-Expressive Systems

When faced with the task of designing and implementing a new self-aware and self-expressive computing system, researchers and practitioners need a set of guidelines on how to use the concepts and foundations developed in the Engineering Proprioception in Computing Systems (EPiCS) project. This report provides such guidelines on how to design self-aware and self-expressive computing systems in a principled way. We have documented different categories of self-awareness and self-expression level using architectural patterns. We have also documented common architectural primitives, their possible candidate techniques and attributes for architecting self-aware and self-expressive systems. Drawing on the knowledge obtained from the previous investigations, we proposed a pattern driven methodology for engineering self-aware and self-expressive systems to assist in utilising the patterns and primitives during design. The methodology contains detailed guidance to make decisions with respect to the possible design alternatives, providing a systematic way to build self-aware and self-expressive systems. Then, we qualitatively and quantitatively evaluated the methodology using two case studies. The results reveal that our pattern driven methodology covers the main aspects of engineering self-aware and self-expressive systems, and that the resulted systems perform significantly better than the non-self-aware systems.

Publikationstyp: Sonstige Veröffentlichung (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: Computer Research Repository (CoRR)
Computer Research Repository (CoRR)
zur Publikation
 ( )
Erscheinungdatum: 13.09.2014
Titel der Serie: -
Bandnummer: -
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: -
Gesamtseitenanzahl: 81 S.


DOI: -
AC-Nummer: -
Open Access
  • Auf einem Repositorium abgelegt


Organisation Adresse
Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020  Klagenfurt am Wörthersee
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee


  • 1020 - Informatik
  • 2020 - Elektrotechnik, Elektronik, Informationstechnik
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex Kein Zitationsindex ausgewählt
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Nein
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt


Keine Kooperationspartner ausgewählt

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden