Towards an agile and ontology-aided modeling environment for DSML adaptation
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2018
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Advanced Information Systems Engineering Workshops (CAiSE 2018)
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Lecture notes in business information processing
Reihennummer
316
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
222-234
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Tallinn
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The advent of digitalization exposes enterprises to an ongoing transformation with the challenge to quickly capture relevant aspects of changes. This brings the demand to create or adapt domain-specific modeling languages (DSMLs) efficiently and in a timely manner, which, on the contrary, is a complex and time-consuming engineering task. This is not just due to the required high expertise in both knowledge engineering and targeted domain. It is also due to the sequential approach that still characterizes the accommodation of new requirements in modeling language engineering. In this paper we present a DSML adaptation approach where agility is fostered by merging engineering phases in a single modeling environment. This is supported by ontology concepts, which are tightly coupled with DSML constructs. Hence, a modeling environment is being developed that enables a modeling language to be adapted on-the-fly. An initial set of operators is presented for the rapid and efficient adaptation of both syntax and semantics of modeling languages. The approach allows modeling languages to be quickly released for usage.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Advanced Information Systems Engineering Workshops. CAiSE 2018. Lecture Notes in Business Information Processing
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
11.06.2018
Enddatum der Konferenz
15.06.2018
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
LAURENZI, Emanuele, Knut HINKELMANN, Stefano IZZO, Ulrich REIMER und Alta VAN DER MERWE, 2018. Towards an agile and ontology-aided modeling environment for DSML adaptation. In: Advanced Information Systems Engineering Workshops (CAiSE 2018). Tallinn. 2018. S. 222–234. Lecture notes in business information processing, 316. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42317