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Link to original content: https://doi.org/10.1007/978-3-319-74730-9_19
Toward Product Lines of Mathematical Models for Software Model Management | SpringerLink
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Toward Product Lines of Mathematical Models for Software Model Management

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Software Technologies: Applications and Foundations (STAF 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10748))

Abstract

We present a general view on theoretical aspects of model synchronization and consistency management, and discuss technical challenges in making it sound, and cultural challenges in bringing it to practice.

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Notes

  1. 1.

    For example, category theory seen as a discipline of mathematical modelling of mathematics itself, was very successful in packing the diversity of mathematical structures and operations over them into a product line of categories and categorical constructs.

  2. 2.

    As per personal communication with Nate Foster.

  3. 3.

    The notion of an organized lens was introduced in [11], although the very name od-lens is new.

  4. 4.

    https://github.com/ekmett/lens.

  5. 5.

    Even though FP proponents are familiar with monads and other categorical constructs employed in FP.

  6. 6.

    Indeed, even quantum phenomena can be specified in a picturesque way as demonstrated in Coecke and Kissinger’s book [7].

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Acknowledgement

The idea to write the paper in its current form emerged at the Grand Workshop that provided a full day of provocative presentations, stimulating discussions, and creative overall atmosphere. We are grateful to all participants and the organizers for creating this inspiring event.

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Correspondence to Zinovy Diskin .

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Diskin, Z., König, H., Lawford, M., Maibaum, T. (2018). Toward Product Lines of Mathematical Models for Software Model Management. In: Seidl, M., Zschaler, S. (eds) Software Technologies: Applications and Foundations. STAF 2017. Lecture Notes in Computer Science(), vol 10748. Springer, Cham. https://doi.org/10.1007/978-3-319-74730-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-74730-9_19

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