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Model Transformations in Non-functional Analysis

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Formal Methods for Model-Driven Engineering (SFM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7320))

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Abstract

The quality assessment of software design models in early development phases can prevent wrong design decisions on the architectural level. As such wrong decisions are usually very cost-intensive to revert in late testing phases, model-driven quality predictions offer early quality estimates to prevent such erroneous decisions. By model-driven quality predictions we refer to analyses which run fully automated based on model-driven methods and tools. In this paper, we give an overview on the process of model-driven quality analyses used today with a special focus on issues that arise in fully automated approaches.

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Authors and Affiliations

  1. Heinz Nixdorf Institute, Department of Computer Science, University of Paderborn, D-33102, Paderborn, Germany

    Steffen Becker

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  1. Steffen Becker
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Editors and Affiliations

  1. Dipartimento di Scienze di Base e Fondamenti, Università di Urbino "Carlo Bo", Piazza della Repubblica 13, 61029, Urbino, Italy

    Marco Bernardo

  2. Dipartimento di Informatica, Università dell’Aquila, via Vetoio 1, 67010, Coppito - L’Aquila, Italy

    Vittorio Cortellessa  & Alfonso Pierantonio  & 

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Becker, S. (2012). Model Transformations in Non-functional Analysis. In: Bernardo, M., Cortellessa, V., Pierantonio, A. (eds) Formal Methods for Model-Driven Engineering. SFM 2012. Lecture Notes in Computer Science, vol 7320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30982-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-30982-3_8

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  • Online ISBN: 978-3-642-30982-3

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