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Simulation Science

SimScience 2017: Simulation Science pp 161–175Cite as

Simulating Software Refactorings Based on Graph Transformations

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 889))

Abstract

We aim to simulate software processes in order to predict the structural evolution of software graphs and assure higher software quality. To make our simulation and therefore the results more accurate, we need to model real world practices. In this paper, we consider the specific problem of including software refactorings in our simulation. We describe these refactorings as graph transformations and apply parameters we collected from open source projects.

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Notes

  1. 1.

    http://cmmiinstitute.com/.

  2. 2.

    https://refactoring.com.

  3. 3.

    https://www.sourcemeter.com/.

  4. 4.

    https://github.com/junit-team/junit4.

  5. 5.

    https://github.com/jankotek/mapdb.

  6. 6.

    https://github.com/bhuman/GameController.

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Acknowledgment

The authors thank the SWZ Clausthal-Göttingen that partially funded our work (both the former projects “Simulation-based Quality Assurance for Software Systems” and “DeSim”, and the recent project “Agent-based simulation models in support of monitoring the quality of software projects”). https://www.simzentrum.de/en/.

Author information

Authors and Affiliations

  1. Institute of Computer Science, Georg-August-Universität Göttingen, Goldschmidtstraße 7, 37077, Göttingen, Germany

    Daniel Honsel, Verena Herbold, Marlon Welter, Stephan Waack & Jens Grabowski

  2. Department of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Niklas Fiekas, Tobias Ahlbrecht & Jürgen Dix

Authors
  1. Daniel Honsel
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  2. Niklas Fiekas
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  3. Verena Herbold
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  4. Marlon Welter
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  5. Tobias Ahlbrecht
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  6. Stephan Waack
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  7. Jürgen Dix
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  8. Jens Grabowski
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Corresponding author

Correspondence to Daniel Honsel .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Göttingen, Göttingen, Lower Saxony, Germany

    Marcus Baum

  2. Institute of Applied Mechanics, TU Clausthal, Clausthal-Zellerfeld, Lower Saxony, Germany

    Gunther Brenner

  3. Institute of Computer Science, Universität Göttingen, Göttingen, Lower Saxony, Germany

    Jens Grabowski

  4. Institute of Applied Stochastics and Operations Research, TU Clausthal, Clausthal-Zellerfeld, Lower Saxony, Germany

    Thomas Hanschke

  5. Institute of Applied Mechanics, TU Clausthal, Clausthal-Zellerfeld, Lower Saxony, Germany

    Stefan Hartmann

  6. Institute for Numerical and Applied Mathematics, Universität Göttingen, Göttingen, Lower Saxony, Germany

    Anita Schöbel

A Mining Results

A Mining Results

We analyzed the following metrics: size measured in lines of code (LOC), coupling measured in number of outgoing invocations (NOI), and complexity measured in McCabes cyclomatic complexity (McCC for methods) or weighted methods per class (WMC for classes). The results are presented in the following table.

figure a

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Honsel, D. et al. (2018). Simulating Software Refactorings Based on Graph Transformations. In: Baum, M., Brenner, G., Grabowski, J., Hanschke, T., Hartmann, S., Schöbel, A. (eds) Simulation Science. SimScience 2017. Communications in Computer and Information Science, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-319-96271-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-96271-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96270-2

  • Online ISBN: 978-3-319-96271-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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