Dataset and Materials for: A Hierarchical Explainable Artificial Intelligence Framework for Evaluating Agile Project Success

This repository contains the dataset and supporting materials used in the study “A Hierarchical Explainable Artificial Intelligence Framework for Evaluating Agile Project Success”. The dataset includes anonymised project-level features derived from Agile project environments across four performance dimensions: Efficiency, Effectiveness, Sustainability, and Contextual Complexity. The repository also includes processed data used for machine learning modelling and analysis. All data have been anonymised to remove any personally identifiable or organisationally sensitive information. The materials provided here enable replication of the modelling procedures and validation of the results presented in the associated research article. The dataset is shared under an open license to support transparency, reproducibility, and future research in explainable artificial intelligence and Agile project analytics.