Title
Modeling and Optimizing Automotive Electric/Electronic (E/E) Architectures: Towards Making Clafer Accessible to Practitioners.
Abstract
Modern automotive electric/electronic (E/E) architectures are growing to the point where architects can no longer manually predict the effects of their design decisions. Thus, in addition to applying an architecture reference model to decompose their architectures, they also require tools for synthesizing and evaluating candidate architectures during the design process. Clafer is a modeling language, which has been used to model variable multi-layer, multi-perspective automotive system architectures according to an architecture reference model. Clafer tools allow architects to synthesize optimal candidates and evaluate effects of their design decisions. However, since Clafer is a general-purpose structural modeling language, it does not help the architects in building models conforming to the given architecture reference model. In this paper, we present an E/E architecture domain-specific language (DSL) built on top of Clafer, which embodies the reference model and which guides the architects in correctly applying it. We evaluate the DSL and its implementation by modeling two existing automotive systems, which were originally modeled in plain Clafer. The evaluation showed that by using the DSL, an evaluator obtained correct models by construction because the DSL helped prevent typical errors that are easy to make in plain Clafer. The evaluator was also able to synthesize and evaluate candidate architectures as with plain Clafer.
Year
DOI
Venue
2016
10.1007/978-3-319-47169-3_37
Lecture Notes in Computer Science
Keywords
Field
DocType
Architecture,Modeling,Optimization,Synthesis,Language engineering,Domain-specific language,DSL,Clafer,Meta-programming system,MPS
Domain-specific language,Architecture,Reference model,Software engineering,Digital subscriber line,Computer science,Simulation,Modeling language,Automotive systems,Engineering design process,Automotive industry
Conference
Volume
ISSN
Citations 
9953
0302-9743
2
PageRank 
References 
Authors
0.36
11
5
Name
Order
Citations
PageRank
Eldar Khalilov120.36
Jordan Ross220.36
Michal Antkiewicz387248.61
Markus Völter438636.01
Krzysztof Czarnecki56064411.57