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This package contains the raw data as well as scripts used to carry out the evaluation of the framework RUNE (RUNtime Equilibrium verification). This package is paired with the following paper submitted for publication to the 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021): Title: Runtime Equilibrium Verification for Resilient Cyber-physical Systems Authors: - Matteo Camilli, Free University of Bozen-Bolzano, Italy - Raffaela Mirandola, Politecnico di Milano, Italy - Patrizia Scandurra, University of Bergamo, Italy
| 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 | 6 | |
| downloads | 4 |

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