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Titel: HCM-L: Domain Specific Modeling for Active and Assisted Living
Untertitel:
Kurzfassung:

Modeling and modeling methods are crucial for information systems engineering but are seldom seamlessly integrated into all phases of development and operation: Practitioners challenge the benefits of modeling and complain about the confusing variety of concepts with overlapping semantics, symbols and syntactic rules of today’s standardized, “universal” modeling languages. Therefore, domain-specific modeling languages (DSMLs) are gaining increasing popularity: they are lean and convenient, support the productivity of modeling, and help to increase model quality and comprehensibility. There are, however, few approaches to embedding a DSML into a domain-specific modeling method (DSMM) that provides guidelines about how to use a given DSML and to evaluate related models. This chapter aims to make a contribution towards filling that gap by discussing, as an example and proof of concept, a domain-specific modeling method for the human cognitive modeling language HCM-L, a DSML for the domain of active and assisted living. As a modeling language without tool support has no chance to be used in practice, we are conducting that discussion on the basis of HCM-L modeler, a tool that was implemented using the metamodeling platform ADOxx and can be accessed via OMiLAB, the Open Models Laboratory for modeling method engineering. HCM-L modeler is component of an ambient assistance system for supporting elder persons in mastering their daily life activities.

Schlagworte:
Publikationstyp: Fachbuch (Autorenschaft)
Erscheinungsdatum: 10.07.2016 (Print)
Titel der Serie: Domain-Specific Conceptual Modeling- Concepts, Methods and Tools
Bandnummer: 1
Erstveröffentlichung: Ja
Version: -
Gesamtseitenanzahl: 594 S.

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ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/978-3-319-39417-6
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Open Access
  • Kein Open-Access
Erscheinungsdatum: 10.07.2016
ISBN:
  • 978-3-319-39416-9
ISSN: -
Homepage: -

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Verlag

Organisation Adresse
Springer International Publishing AG
Gewerbestrasse 11
6330 Cham
Schweiz
Gewerbestrasse 11
CH - 6330  Cham

Kategorisierung

Sachgebiete
  • 102015 - Informationssysteme
Forschungscluster
  • Energiemanagement und -technik
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Arbeitsgruppen
  • Application Engineering

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