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The models below were generated automatically to support empirical studies on the performance and scalability of automated techniques for reasoning on feature models. In each generated model, each type of mandatory, optional, inclusive-OR and exclusive-OR feature was added with equal probability. The branching factor (number of children per parent node) of the feature tree varied from 1 to 6. The cross-tree constraints were generated as a single Random 3-CNF formula. More details about these kinds of generated feature models can be found in the section below about our feature model generator tool.
model
model
| 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). | 0 | |
| 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 | 5 | |
| downloads | 1 |

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