This repository serves as a centralized hub for Adyen's internal research materials, providing the academic and professional research community with the resources necessary to understand, replicate, and build upon our findings in Software Engineering research.
The repository contains experimentation replication packages, including anonymized datasets (when possible), analysis scripts, and detailed methodological documentation. It bridges the gap between industrial practice and academic research by sharing the empirical evidence gathered from Adyen's unique ecosystem. Researchers can use this material to validate new theories on developer experience and more.
We strongly encourage you to contribute to our repository. Find out more in our contribution guidelines.
Requirements depend on the specific replication package, but generally include:
- Docker: Recommended for ensuring a consistent environment for running analysis scripts and reproduction models.
- Python 3.10+: For standalone statistical analysis and data processing scripts.
- Standard Data Science Stack: Libraries such as
pandas,numpy, andscipyfor processing the provided CSV and JSON data exports.
- Clone the repository:
git clone https://github.com/Adyen/adyen-research.git- Navigate to a specific research study directory:
cd ase26- Install study-specific dependencies:
pip install -r requirements.txtEach subdirectory represents a unique research initiative.
If you have a feature request, or spotted a bug or a technical problem, create a GitHub issue. For other questions, contact our Support Team via Customer Area or via email: support@adyen.com
MIT license. For more information, see the LICENSE file.