Title
Towards a Classification to Facilitate the Design of Domain-Specific Visual Languages
Abstract
Domain-specific visual languages (DSVLs) are specialized modeling languages that allow the effective management of the behavior and the structure of software programs and systems in a specific domain. Each DSVL has its specific structural and graphical characteristics depending on the problem domain. In the recent decade, a wide range of tools and methodologies have been introduced to support the design of DSVLs for various domains, therefore it can be a challenging task to choose the most appropriate technique for the design process. Our research aims to present a classification-based systematic approach to guide the identification of the most relevant and appropriate methodologies in the given scenario. The approach can be capable enough to provide a clear and precise understanding of the main aspects that can facilitate the design of DSVLs.
Year
DOI
Venue
2019
10.14232/actacyb.24.1.2019.2
Acta Cybern.
Keywords
DocType
Volume
domain-specific visual languages,modeling,classification
Journal
24
Issue
ISSN
Citations 
1
0324-721X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Sándor Bácsi103.38
Gergely Mezei214324.62