Evaluating the use of Augmented Reality for Dependency Graph Analysis: A Controlled Experiment - Data results

This repository contains the experimental results associated with the paper “Evaluating the Use of Augmented Reality for Dependency Graph Analysis: A Controlled Experiment”.The data was collected as part of a controlled experiment designed to assess the effectiveness and usability of an augmented reality–based visualization for analyzing software dependency graphs, compared with a traditional desktop-based visualization.The dataset includes anonymized participant data, task completion measures, accuracy results, timing information, and responses to post-experiment questionnaires (e.g., perceived workload and usability). All data has been processed to remove personally identifiable information and is shared in compliance with ethical guidelines.These materials are provided to support transparency, reproducibility, and further research on augmented reality, software visualization, and dependency analysis. Researchers may reuse the data to replicate the original analyses, conduct secondary analyses, or compare with alternative visualization or interaction techniques.For details about the experimental design, hypotheses, tasks, and analysis procedures, please refer to the associated publication.