SergioZSZ/Software-Quality-Observatory-Orchestrator-TFG-: 0.2.0
Abstract
This project presents the design and implementation of a Software Quality Observatory Orchestrator, a system that automates the analysis and evaluation of research software repositories. The platform integrates tools from the research software ecosystem, including SOCA for repository discovery and metadata extraction and RSFC (Research Software Fitness Criteria) for assessing software quality indicators. The system is implemented through a containerized architecture using Docker, while workflow orchestration is managed with n8n, enabling reproducible and automated execution of the analysis pipeline. The orchestrator retrieves repositories, processes them through the evaluation tools, and collects the resulting quality metrics. The resulting framework provides a scalable and modular approach for evaluating large collections of research software, contributing to improved software quality assessment, reproducibility, and automation in research software engineering and open science.
Fields of Study & Subjects
Scientific Computing and Data Management
Software Engineering Research
Research Data Management Practices
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN