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This dataset contains the replication package for the paper: Federico Formica, Tony Fan, and Claudio Menghi. 2023. "Search-based Software Testing Driven by Automatically Generated and Manually Defined Fitness Functions". The dataset contains: The models used in the evaluation section. All the results obtained by running Athena-S on the models. The scripts that automatically analyze the results file and produce the tables and figures used in the paper.
To run Athena on the models, please install Athena from the following GitHub page: https://github.com/ATheNA-SBST/ATheNA
Testing, Falsification, Fitness Functions, CPS
Testing, Falsification, Fitness Functions, CPS
| 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 | 7 |

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