Surveying Rule Inheritance in Model-to-Model Transformation Languages.

Wimmer, Manuel; Kappel, Gerti; Kusel, Angelika; Retschitzegger, Werner; Schönböck, Johannes; Schwinger, Wieland; Kolovos, Dimitrios S.; Paige, Richard F.; Lauder, Marius; Schürr, Andy; Wagelaar, Dennis

doi:10.5381/jot.2012.11.2.a3

Cited by 22 publications

(17 citation statements)

References 22 publications

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“…It can be supported by single or multiple inheritances [20]. Writing a new rule can be made simpler by rule inheritance that is important for writable languages, so the possible values are nonsupport (weak), single inheritance (moderate), and multiple inheritance (strong).…”

Section: Readability: As Shown Inmentioning

confidence: 99%

Programming language criteria for model transformation evaluation

Samimi-Dehkordi

Khalilian

Zamani

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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Model Driven Engineering (MDE) has been considered as an effective discipline in the development of software systems. One integral concept of this paradigm is model-to-model transformation which can be used in different levels of abstraction. The prominent role of Model Transformations leads to use them to refine, refactor, migrate, improve, and analyze models. Currently, there exist numerous languages for model transformation. However, a major problem is the lack of an effective and comprehensive technique for assessment and comparison of model transformation approaches. To address this problem, in this paper, a new method has been developed based on the programming language evaluation criteria. Then, the proposed method has been applied on five widely-used model transformation languages. Analyzing the results demonstrate that no language is absolutely superior to the others; but rather we are enabled to choose an appropriate language for a certain application.

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Section: Readability: As Shown Inmentioning

confidence: 99%

Programming language criteria for model transformation evaluation

Samimi-Dehkordi

Khalilian

Zamani

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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“…Chapter 5 gives conclusion and future works. [8][9]. The ATL currently managed by the Eclipse Foundation, which is open source [10].…”

Section: Introductionmentioning

confidence: 99%

Test Case Generation from Cause-Effect Graph Based on Model Transformation

Son

Kim

Park

2014

2014 International Conference on Information Science &Amp; Applications (ICISA)

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In software testing, cause-effect graph assures coverage criteria of 100% functional requirements with minimum test case. The existing test case generation from causeeffect graph implements the algorithmic approach. It has disadvantages to modify the entire program if the input model is different. In contrast, model transformation approach can flexibly implement with even a different input models. In the future, we need to study the method of automatic generation of test cases from UML Diagram. It is possible to generate the test case when mapping between cause-effect graph and UML diagram. In this paper, as a first research step, we propose the method to generate test cases from cause-effect graph based on model transformation. To implement the proposed method, we write the rules of model transformation with ATLAS Transformation Language (ATL), and execute the rules in development environment of Eclipse. The implemented tool of the proposed method can be easily extended by rewriting with the mapping rule between cause-effect graph and UML diagram. We just define the relationship between each models to generate the test case.

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“…The rule extends Performer2User, but it is refined for type SoftwareEngineer and will be executed at meta-level 0 (as indicated by SLevel0!SoftwareEngineer in line 3). In this case, we needed to adapt the ETL rule extensibility mechanism [49]. In particular, we allow extending a rule if the child rule transforms a direct or indirect instance (and not just a subclass) of the clabject type transformed by the parent rule.…”

Section: Deep Transformations Oftentimes a Transformationmentioning

confidence: 99%

Model-driven engineering with domain-specific meta-modelling languages

2013

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The final publication is available at Springer via http://dx.doi.org/10.1007/s10270-013-0367-zDomain-specific modelling languages are normally defined through general-purpose meta-modelling languages like the MOF. While this is satisfactory for many model-driven engineering (MDE) projects, several researchers have identified the need for domain-specific meta-modelling (DSMM) languages. These provide customised domain-specific meta-modelling primitives aimed at the definition of modelling languages for a specific domain, as well as the construction of meta-model families. Unfortunately, current approaches to DSMM rely on ad hoc methods which add unnecessary complexity to the realization of DSMM in practice. Hence, the goal of this paper is to simplify the definition and usage of DSMM languages. For this purpose, we apply multi-level meta-modelling for the systematic engineering of DSMM architectures. Our method integrates techniques to control the meta-modelling primitives offered to the users of the DSMM languages, provides a flexible approach to define textual concrete syntaxes for DSMM languages, and extends existing model management languages (for model-to-model transformation, in-place transformation and code generation) to work in a multi-level setting, thus enabling the practical use of DSMM in MDE. As a proof of concept, we report on a working implementation of these ideas in the MetaDepth tool.We thank the referees for their detailed and useful comments. This work has been funded by the Spanish Ministry of Economy and Competitivity with project “Go Lite” (TIN2011-24139), and the R&D programme of Madrid Region with project “eMadrid” (S2009/TIC-1650)

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Surveying Rule Inheritance in Model-to-Model Transformation Languages.

Cited by 22 publications

References 22 publications

Programming language criteria for model transformation evaluation

Programming language criteria for model transformation evaluation

Test Case Generation from Cause-Effect Graph Based on Model Transformation

Model-driven engineering with domain-specific meta-modelling languages

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