Downloads provided by UsageCounts
PrettyDataset.xlsx Our data set of 89 serverless use cases and their mapping to 24 characteristics. In form of an Excel file to simplify manual inspection. Columns represent characteristics, rows represent use cases. Dataset.csv Raw version of our data set of 89 serverless use cases and their mapping to 24 characteristics as a CSV file for automated analysis. Columns represent characteristics, rows represent use cases. Initial Characterizations.csv Reviewer characterizations prior to the discussion and consolidation phase. Required for the calculation of the fleiss kappa score. CalculateKappa.py Python script for the calculation of the fleiss kappa score shown in the technical report. Requires Python 3.6. GenerateFigures.py Python script for the generation of all figures shown in the technical report. Requires Python 3.6.
| 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 | 24 | |
| downloads | 19 |

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