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Artifact for the paper "AalWiNes: A Fast and Quantitative What-If Analysis Tool for MPLS Networks", accepted at CoNEXT 2020. This artifact contains a reproducibility-package with experiments and scripts to reproduce the results reported in the paper. The source code is available on GitHub: - Source code for AalWiNes: https://github.com/DEIS-Tools/AalWiNes - Source code for the PDA engine: https://github.com/DEIS-Tools/PDAAAL - Source code for the GUI: https://github.com/DEIS-Tools/VisuAalWiNes A demo of the GUI is available at: https://demo.aalwines.cs.aau.dk Reproducibility The reproducibility-package is only available for Linux. The package contains: - bin (programs binaries) - operator-network (for the table in the paper) - synthetic-networks (for the plot in the paper) - results (pre-populated) - Scripts to run tests and create plot and table. Please see the README.txt file for further information.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 15 | |
| downloads | 2 |

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