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AWSomePy is a dataset of 145 AWS serverless applications implemented in Python and compatible with the Serverless Framework deployment tool. The applications were collected from GitHub in August 2022. The peer-reviewed paper AWSomePy: A Dataset and Characterization of Serverless Applications has been accepted for publication at the 1st Workshop on SErverless Systems, Applications and MEthodologies (SESAME) co-located with the EuroSys 2023 conference. The paper will be available in the ACM Digital Library.
serverless, FaaS
serverless, FaaS
| 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 |
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| downloads | 24 |

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