Software Language Engineering: 4th International Conference, by Paul Klint, Bert Lisser, Atze van der Ploeg (auth.), Anthony

By Paul Klint, Bert Lisser, Atze van der Ploeg (auth.), Anthony Sloane, Uwe Aßmann (eds.)

This ebook constitutes the completely refereed post-proceedings of the 4th overseas convention on software program Language Engineering, SLE 2011, held in Braga, Portugal, in July 2011.
The 18 papers awarded including four tool/language demonstration papers have been rigorously reviewed and chosen from a number of submissions. SLE’s premier challenge is to motivate and arrange communique among groups that experience often checked out software program languages from diversified, extra really good, and but complementary views. SLE emphasizes the elemental proposal of languages in preference to any awareness in particular technical spaces.

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Extra resources for Software Language Engineering: 4th International Conference, SLE 2011, Braga, Portugal, July 3-4, 2011, Revised Selected Papers

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Seibel et al. might be insufficient for realizing the new requirements. For example, in an industrial case study in cooperation with dSPACE2 we have developed a tool chain that transforms SysML3 models into AUTOSAR4 models within Eclipse5 and further transforms these AUTOSAR models into SystemDesk6 conform AUTOSAR models (cf. [2]). Because of the new timing extension of AUTOSAR, we now also had to transform textual SysML timing requirements into structural AUTOSAR latency timing constraints. Yet, without making modifications to the employed model transformation language (triple graph grammars (TGG) [3]), we would not be able to extend the existing model transformation.

For the application of a data-flow composition the model transformation user simply instantiates all modules to be composed on shared source and target modeling artifacts. For the application of a context composition, it is sufficient to instantiate the most high-level module that does not extend any other module. Third, the execution engine is executing all necessary model transformations that are in data-flow compositions and context compositions. The execution engine is explicitly triggered by the model transformation user and is explained in Section 4 in more detail.

These pre-conditions are defined separately from the model transformation to ensure separation of concerns. Thus, MoTCoF takes total control of creating traceability information as well as applying model transformations into the required application context. , model transformations that create traceability information as a by-product of their application). Therefore, MoTCoF ’translates’ proprietary traceability information into traceability information of our composition framework. This will be illustrated by means of an application example.

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