This is the replication package for the article "An Empirical Comparison of Dependency Network Evolution in Seven Software Packaging Ecosystems" published in the Empirical Software Engineering journal. This package requires Python 3.5 and all the dependencies that are listed in "requirements.txt". The notebooks (in "notebooks" folder) should be opened and executed with Jupyter. The notebooks require the graphs (in "graphs" folder) to be computed first. To do so, execute "helpers.py" with Python. The graphs are built using the data provided by https://libraries.io under CC BY-SA https://creativecommons.org/licenses/by-sa/4.0/ Those data can be found in the "data" folder
The files attached contain the replication package for the experiments presented in the article "Und...
This replication package contains all the material required to replicate the analyses we made for ou...
This is the replication package of the paper: "Eliciting Best Practices for Collaboration with Compu...
This is the replication package for the article "An Empirical Comparison of Dependency Network Evolu...
Helm Charts for Kubernetes Applications: Evolution, Outdatedness and Security Risks This repository...
This is the replication package for our paper on dependency constraints and semantic versioning. Th...
This is the replication package for our article "A Formal Framework for Measuring Technical Lag in C...
This is a replication package for the paper: "Code Duplication and Reuse in Jupyter Notebooks", whic...
This is the replication package for our paper on predicting dependency update strategies. Here is a...
Container Image Inheritance on DockerHub: Empirical Analysis and Insights This repository represent...
This dataset includes scripts, text files, and CSV files used to generate all analysis and results f...
This dataset includes scripts and data files used to generate all analysis and results from the pape...
This repository represents a replication package for our analysis on "Identifying Versions of Librar...
This is the replication package for the paper "AI-based Fault-proneness Metrics for Source Code Chan...
This is the replication package for the paper: "A Machine Learning Based Ensemble Method for Automat...
The files attached contain the replication package for the experiments presented in the article "Und...
This replication package contains all the material required to replicate the analyses we made for ou...
This is the replication package of the paper: "Eliciting Best Practices for Collaboration with Compu...
This is the replication package for the article "An Empirical Comparison of Dependency Network Evolu...
Helm Charts for Kubernetes Applications: Evolution, Outdatedness and Security Risks This repository...
This is the replication package for our paper on dependency constraints and semantic versioning. Th...
This is the replication package for our article "A Formal Framework for Measuring Technical Lag in C...
This is a replication package for the paper: "Code Duplication and Reuse in Jupyter Notebooks", whic...
This is the replication package for our paper on predicting dependency update strategies. Here is a...
Container Image Inheritance on DockerHub: Empirical Analysis and Insights This repository represent...
This dataset includes scripts, text files, and CSV files used to generate all analysis and results f...
This dataset includes scripts and data files used to generate all analysis and results from the pape...
This repository represents a replication package for our analysis on "Identifying Versions of Librar...
This is the replication package for the paper "AI-based Fault-proneness Metrics for Source Code Chan...
This is the replication package for the paper: "A Machine Learning Based Ensemble Method for Automat...
The files attached contain the replication package for the experiments presented in the article "Und...
This replication package contains all the material required to replicate the analyses we made for ou...
This is the replication package of the paper: "Eliciting Best Practices for Collaboration with Compu...