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This artifact comprises FeatCause, a tool to compute feature causes from variability-aware analysis results. It contains the source code of FeatCause and additional data to replicate the results of experiments done in the ICSE'22 publication Causality in Configurable Software Systems by Clemens Dubslaff, Kallistos Weis, Christel Baier, and Sven Apel. Further enhancements are made in the updated version to compute feature precauses from effect sets with uncertainty.
| 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 | 10 |

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