Decision-Driven Orchestration Simulation Data for Architectural Drift Analysis
Abstract
This dataset supports the study "A Decision-Driven Orchestration Architecture for Command and Control Systems: Dynamic Binding and Change Propagation Analysis". It contains synthetically generated architectural event logs and visualization artifacts used to evaluate decision-induced change propagation, localization, and long-term architectural drift. All data are synthetic, contain no sensitive information, and are suitable for direct reuse and analysis. See the linked GitHub repository for details and code.
Fields of Study & Subjects
Advanced Software Engineering Methodologies
Military Strategy and Technology
Systems Engineering Methodologies and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Language
- EN
- Document type
- Dataset