A metamodel family for role-based modeling and programming languages

被引：55

作者：

Kühn, Thomas ^{[1
]}

Leuthäuser, Max ^{[1
]}

Götz, Sebastian ^{[1
]}

Seidl, Christoph ^{[1
]}

Aßmann, Uwe ^{[1
]}

机构：

[1] Technische Universität Dresden, Software Technology Group, Dresden

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8706卷

关键词：

Modeling languages - Artificial intelligence;

D O I：

10.1007/978-3-319-11245-9_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Role-based modeling has been proposed almost 40 years ago as a means to model complex and dynamic domains, because roles are able to capture both context-dependent and collaborative behavior of objects. Unfortunately, while several researchers have introduced the notion of roles to modeling and programming languages, only few have captured both the relational and the context-dependent nature of roles. In this work, we classify various proposals since 2000 and show the discontinuity and fragmentation of the whole research field. To overcome discontinuity, we propose a family of metamodels for role-based modeling languages. Each family member corresponds to a design decision captured in a feature model. In this way, it becomes feasible to generate a metamodel for each role-based approach. This allows for the combination and improvement of the different role-based modeling and programming languages and paves the way to reconcile the research field. © Springer International Publishing Switzerland 2014.

引用

页码：141 / 160

页数：19

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