Master data

Title: HCM-L: Domain Specific Modeling for Active and Assisted Living
Subtitle:
Abstract:

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.

Keywords:
Publication type: Reference book (Authorship)
Publication date: 10.07.2016 (Print)
Title of the series: Domain-Specific Conceptual Modeling- Concepts, Methods and Tools
Volume number: 1
First publication: Yes
Version: -
Total number of pages: 594 pp.

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Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/978-3-319-39417-6
Homepage: -
Open access
  • No open access
Publication date: 10.07.2016
ISBN:
  • 978-3-319-39416-9
ISSN: -
Homepage: -

Assignment

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

Publisher

Organisation Address
Springer International Publishing AG
Gewerbestrasse 11
6330 Cham
Switzerland
Gewerbestrasse 11
CH - 6330  Cham

Categorisation

Subject areas
  • 102015 - Information systems
Research Cluster
  • Energy management and technology
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
working groups
  • Application Engineering

Cooperations

No partner organisations selected

Articles of the publication

No related publications