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UniComp: a semantics-aware model compiler for optimised predictable software

Note:

UML, Alf, fUML, compilation, model-driven engineering, predictability, semantics

Publication Type:

Conference/Workshop Paper

Venue:

International Conference on Software Engineering (ICSE) 2018 - New Ideas and Emerging Results (NIER)


Abstract

In Model-Driven Engineering, executables are generated from domain-specific modelling languages (DSMLs) through two steps: generation of program code in a third-generation programming languages (3GLs, like C++ or Java) from a model, and compilation of the generated code to object code. 3GL code generation raises three issues. (1) Code generators are DSML- and 3GL-specific, hence they can not be used for other DSMLs or 3GLs than those they were designed for. (2) Existing code generators do not exploit model semantics; hence, 3GL programs do not always semantically reflect models. (3) Existing 3GL compilers are unable to exploit model semantics; hence, they are not able to operate model-specific optimisations. (2) and (3) seriously threaten predictability of the generated executables.We advocate the need and provides a solution proposal for an innovative model compilation framework based on model semantics to produce executables without translations to 3GLs. Model compilation will be based on a common semantics, the Semantics of a Foundational Subset for Executable UML Models (fUML), and will semantically underpin any DSML whose execution semantics can be specified with fUML.

Bibtex

@inproceedings{Ciccozzi5047,
author = {Federico Ciccozzi},
title = {UniComp: a semantics-aware model compiler for optimised predictable software},
note = {UML, Alf, fUML, compilation, model-driven engineering, predictability, semantics},
month = {May},
year = {2018},
booktitle = {International Conference on Software Engineering (ICSE) 2018 - New Ideas and Emerging Results (NIER)},
url = {http://www.es.mdu.se/publications/5047-}
}