Model-driven performance analysis of rule-based domain specific visual models

2013 ◽  
Vol 55 (1) ◽  
pp. 88-110 ◽  
Author(s):  
Javier Troya ◽  
Antonio Vallecillo ◽  
Francisco Durán ◽  
Steffen Zschaler
Keyword(s):  
Performance Analysis ◽  
Rule Based ◽  
Model Driven ◽  
Domain Specific ◽  
Visual Models

Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming

2021 ◽  
Author(s):  
Nils Weidmann ◽  
Anthony Anjorin
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Experimental Evaluation ◽  
Graph Grammars ◽  
Model Driven Engineering ◽  
Rule Based ◽  
Consistency Management ◽  
Model Driven ◽  
Triple Graph Grammars ◽  
Domain Constraints

AbstractIn the field of Model-Driven Engineering, Triple Graph Grammars (TGGs) play an important role as a rule-based means of implementing consistency management. From a declarative specification of a consistency relation, several operations including forward and backward transformations, (concurrent) synchronisation, and consistency checks can be automatically derived. For TGGs to be applicable in realistic application scenarios, expressiveness in terms of supported language features is very important. A TGG tool is schema compliant if it can take domain constraints, such as multiplicity constraints in a meta-model, into account when performing consistency management tasks. To guarantee schema compliance, most TGG tools allow application conditions to be attached as necessary to relevant rules. This strategy is problematic for at least two reasons: First, ensuring compliance to a sufficiently expressive schema for all previously mentioned derived operations is still an open challenge; to the best of our knowledge, all existing TGG tools only support a very restricted subset of application conditions. Second, it is conceptually demanding for the user to indirectly specify domain constraints as application conditions, especially because this has to be completely revisited every time the TGG or domain constraint is changed. While domain constraints can in theory be automatically transformed to obtain the required set of application conditions, this has only been successfully transferred to TGGs for a very limited subset of domain constraints. To address these limitations, this paper proposes a search-based strategy for achieving schema compliance. We show that all correctness and completeness properties, previously proven in a setting without domain constraints, still hold when schema compliance is to be additionally guaranteed. An implementation and experimental evaluation are provided to support our claim of practical applicability.

scholarly journals Comparison Between Internal and External DSLs via RubyTL and Gra2MoL

2012 ◽  
pp. 109-131 ◽  
Author(s):  
Jesús Sánchez Cuadrado ◽  
Javier Luis Cánovas Izquierdo ◽  
Jesús García Molina
Keyword(s):  
Empirical Studies ◽  
Lessons Learned ◽  
The Other ◽  
Model Transformations ◽  
Domain Specific Languages ◽  
Model Driven ◽  
Domain Specific ◽  
Advantages And Disadvantages

Domain Specific Languages (DSL) are becoming increasingly more important with the emergence of Model-Driven paradigms. Most literature on DSLs is focused on describing particular languages, and there is still a lack of works that compare different approaches or carry out empirical studies regarding the construction or usage of DSLs. Several design choices must be made when building a DSL, but one important question is whether the DSL will be external or internal, since this affects the other aspects of the language. This chapter aims to provide developers confronting the internal-external dichotomy with guidance, through a comparison of the RubyTL and Gra2MoL model transformations languages, which have been built as an internal DSL and an external DSL, respectively. Both languages will first be introduced, and certain implementation issues will be discussed. The two languages will then be compared, and the advantages and disadvantages of each approach will be shown. Finally, some of the lessons learned will be presented.

scholarly journals Measuring Models

2009 ◽  
pp. 147-169 ◽  
Author(s):  
Martin Monperrus ◽  
Jean-Marc Jézéquel ◽  
Joël Champeau ◽  
Brigitte Hoeltzener
Keyword(s):  
Quality Assurance ◽  
Software Development ◽  
Point Of View ◽  
Specific Information ◽  
Model Driven Engineering ◽  
Text Documents ◽  
Model Driven ◽  
Domain Specific ◽  
Wide Range

Model-Driven Engineering (MDE) is an approach to software development that uses models as primary artifacts, from which code, documentation and tests are derived. One way of assessing quality assurance in a given domain is to define domain metrics. We show that some of these metrics are supported by models. As text documents, models can be considered from a syntactic point of view i.e., thought of as graphs. We can readily apply graph-based metrics to them, such as the number of nodes, the number of edges or the fan-in/fan-out distributions. However, these metrics cannot leverage the semantic structuring enforced by each specific metamodel to give domain specific information. Contrary to graph-based metrics, more specific metrics do exist for given domains (such as LOC for programs), but they lack genericity. Our contribution is to propose one metric, called s, that is generic over metamodels and allows the easy specification of an open-ended wide range of model metrics.

scholarly journals Gade4all: Developing Multi-platform Videogames based on Domain Specific Languages and Model Driven Engineering

2013 ◽  
Vol 2 (2) ◽  
pp. 33 ◽  
Author(s):  
Edward Nu�ez-Valdez ◽  
Oscar Sanjuan-Martinez ◽  
Cristina Pelayo G-Bustelo ◽  
Juan Manuel Cueva-Lovelle ◽  
Guillermo Infante-Hernandez
Keyword(s):  
Model Driven Engineering ◽  
Domain Specific Languages ◽  
Model Driven ◽  
Domain Specific

scholarly journals Dependability Modeling and Assessment in UML-Based Software Development

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Simona Bernardi ◽  
José Merseguer ◽  
Dorina C. Petriu
Keyword(s):  
Software Development ◽  
Formal Model ◽  
General Purpose ◽  
Software Modeling ◽  
Model Driven ◽  
Domain Specific ◽  
Software Model ◽  
Software Models ◽  
Assessment Approach ◽  
System Properties

Assessment of software nonfunctional properties (NFP) is an important problem in software development. In the context of model-driven development, an emerging approach for the analysis of different NFPs consists of the following steps: (a) to extend the software models with annotations describing the NFP of interest; (b) to transform automatically the annotated software model to the formalism chosen for NFP analysis; (c) to analyze the formal model using existing solvers; (d) to assess the software based on the results and give feedback to designers. Such a modeling→analysis→assessment approach can be applied to any software modeling language, be it general purpose or domain specific. In this paper, we focus on UML-based development and on the dependability NFP, which encompasses reliability, availability, safety, integrity, and maintainability. The paper presents the profile used to extend UML with dependability information, the model transformation to generate a DSPN formal model, and the assessment of the system properties based on the DSPN results.

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