Model-driven plug-in development for UML based modeling systems

Vitiutinas, Ruslanas; Šilingas, Darius; Telksnys, Adolfas Laimutis

doi:10.5755/j01.itc.40.3.627

Use this url to cite publication: https://hdl.handle.net/20.500.12259/40083

Model-driven plug-in development for UML based modeling systems

Type of publication

Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)

Author(s)

Author	Affiliation
Vitiutinas, Ruslanas	Taikomosios informatikos katedra / Department of Applied Informatics	LT
Šilingas, Darius	Taikomosios informatikos katedra / Department of Applied Informatics	LT
Telksnys, Adolfas Laimutis	Sistemų analizės katedra / Department of System Analysis	LT

Title

Model-driven plug-in development for UML based modeling systems

[en]

Is part of

Informacinės technologijos ir valdymas = Information technology and control. Kaunas : Technologija, T. 40, nr. 3 (2011)

Date Issued

Date
2011

Publisher

Kaunas : Technologija

Is Referenced by

Science Citation Index Expanded (Web of Science)

INSPEC

VINITI

Scopus

Extent

p. 191-201

URI

URI
http://www.itc.ktu.lt/index.php/ITC/article/view/627
https://hdl.handle.net/20.500.12259/40083

DOI

10.5755/j01.itc.40.3.627

Field of Science

Keywords (en)

Abstract (en)

UML is the main modeling language used in model-driven development (MDD). In many cases, UML-based modeling systems need to be extended by plug-ins to support different modeling approaches. This paper proposes a conceptual framework for model-driven development of plug-ins, which enables reuse of UML modeling capabilities for defining executable plug-in models. This approach suggests that UML-based modeling system should provide for their users a set of extension profiles that make up Application Modeling Interface (AMI), which is MDD alternative to Application Programming Interface (API). The paper describes three cases of AMI - model validation, methodology wizards, and model patterns - and sample plug-in models based on them. The presented samples are implemented in MagicDraw, which is one of the most popular UML-based modeling systems worldwide. The paper also discusses the benefits and drawbacks of the proposed approach and its further research directions.