Published April 18, 2023
| Version 1
Dataset
Open
AWSomePy Dataset
Authors/Creators
- 1. Royal Holloway, University of London
- 2. Universidad Politécnica de Madrid
Description
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.
Files
AWSomePy_Dataset.zip
Files
(2.9 GB)
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