Published June 9, 2021 | Version 1

Smell Detection of Technology-agnostic Infrastructure Code Using Unsupervised Learning

Authors/Creators

  • 1. Tilburg University

Description

This dataset contains the collected data and software artifacts created for Clustering-based Smell Detection of Infrastructure-as-Code based on TOSCA.
The ZIP folder contains smell detectors based on clustering to detect the smells Duplicate Block, Too many Attributes, and Insufficient Modularization. All data and information required to reproduce the study is included in that folder. Furthermore, a short description is provided for reproduction, but also an explanation on how to use the smell detector on developer's own TOSCA blueprints.

Source: https://github.com/VaCH2/tosca-analysis

Files

tosca-analysis.zip

Files (19.3 MB)

Name Size
md5:14a0ee32920507eee7ca51864b36ef31
19.3 MB Preview Download

Additional details

Funding

European Commission
RADON - Rational decomposition and orchestration for serverless computing 825040