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Towards Development with Multi-version Models: Detecting Merge Conflicts and Checking Well-Formedness

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Graph Transformation (ICGT 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13349))

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Abstract

Developing complex software requires that multiple views and versions of the software can be developed in parallel and merged as supported by views and managed by version control systems. In this context, this paper considers permanent monitoring of merging and related consistency problems at the level of models and abstract syntax. The presented approach introduces multi-version models based on typed graphs that permit to store changes and multiple versions in one graph in a compact form and allow (1) to study well-formedness for all versions without the need to extract each version individually, (2) to report all possible merge conflicts without the need to merge all pairs of versions, and (3) to report all violations of well-formedness conditions that will result for merges of any two versions independent of any merge decisions without the need to merge all pairs of versions. Thereby, the approach aims to permit early and frequent conflict detection while developing in parallel. The paper defines the related concepts and algorithms operating on multi-version models, proves their correctness w.r.t. the usually employed three-way-merge, and reports on preliminary experiments concerning the scalability.

This work was developed mainly in the course of the project modular and incremental Global Model Management (project number 336677879) funded by the DFG.

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Notes

  1. 1.

    All experiments were executed on a Linux SMP Debian 4.19.67-2 machine with Intel Xeon E5-2630 CPU (2.3 GHz clock rate) and 386 GB system memory running OpenJDK version 1.8.0_242. Reported execution times correspond to the minimum of at least five runs of the respective experiment. Memory measurements were obtained in a single run using the native Java library. Our implementation and datasets are available under https://github.com/hpi-sam/multi-version-models.

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Authors and Affiliations

  1. Hasso-Plattner Institute at the University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Potsdam, Germany

    Matthias Barkowsky & Holger Giese

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  1. Matthias Barkowsky
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  2. Holger Giese
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Correspondence to Matthias Barkowsky .

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Editors and Affiliations

  1. Université Paris Cité, Paris, France

    Nicolas Behr

  2. Computer Science and Engineering, Chalmers | Gothenburg University, Gothenburg, Sweden

    Daniel Strüber

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Barkowsky, M., Giese, H. (2022). Towards Development with Multi-version Models: Detecting Merge Conflicts and Checking Well-Formedness. In: Behr, N., Strüber, D. (eds) Graph Transformation. ICGT 2022. Lecture Notes in Computer Science, vol 13349. Springer, Cham. https://doi.org/10.1007/978-3-031-09843-7_7

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  • DOI: https://doi.org/10.1007/978-3-031-09843-7_7

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