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

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