2008•Unpublished venueRequires access

Specifying the correctness properties of model transformations

Anantha Narayanan, Gábor Karsai

Open publisher page 17 citations

Abstract

The correctness of a model transformation is central to the success of a model-driven software development process. A transformation can be said to have executed correctly if it resulted in the desired output model, but this requires a specification of what constitutes a desirably correct output. If we have this specification, and a framework to verify that it holds on a specific execution of the transformation, then that execution instance may be "certified correct". In this paper, we explore a technique to specify such a correctness, using a language framework that can easily be incorporated into a variety of domains. We will also see how these correctness criteria can be verified on instance models.

About this research paper

What this paper is about

The correctness of a model transformation is central to the success of a model-driven software development process. A transformation can be said to have executed correctly if it resulted in the desired output model, but this requires a specification of what constitutes a desirably correct output. If we have this specification, and a framework to verify that it holds on a specific execution of the transformation, then that execution instance may be "certified correct". In this paper, we explore a technique to specify such a correctness, using a language framework that can easily be incorporated into a variety of domains. We will also see how these correctness criteria can be verified on instance models.

Why it matters

OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The correctness of a model transformation is central to the success of a model-driven software development process. A transformation can be said to have executed correctly if it resulted in the desired output model, but this requires a specification of what constitutes a desirably correct output. If we have this specification, and a framework to verify that it holds on a specific execution of the transformation, then that execution instance may be "certified correct". In this paper, we explore a technique to specify such a correctness, using a language framework that can easily be incorporated into a variety of domains. We will also see how these correctness criteria can be verified on instance models.

Key concepts: Correctness, Computer science, Model transformation, Transformation (genetics), Programming language, Process (computing), Variety (cybernetics), Theoretical computer science

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