Replication package for paper: Insights on the Use of Software Design Principles in Machine Learning Pipelines

This is the replication package of the paper "Insights on the Use of Software Design Principles in Machine Learning Pipelines".

This replication package contains two files:

Data extraction.xlsx: file containing the details of the extracted data for each single ML project. 

Source Code and Metadata.zip: zip file including the source code local copy analyzed and the repository metadata (.json) provided by GitHub API for each ML project .repository 

Reference: [1] Lidia López, Cristina Gómez, and Claudia Ayala. Insights on the Use of Software Design Principles in Machine Learning Pipelines. Accepted in the 2024 edition of the International Conference on Product-Focused Software Process Improvement (PROFES 2024).

Note: The licence is applicable to the excel file. "Source Code and Metadata.zip" file contains source code repositories downloaded from GitHub, the license for each repository is defined in the corresponding GitHub repository by their authors.