Continuous Integration and Systems Engineering
Streamline systems engineering projects with Continuous Integration (CI). This post explains how CI can generate automatic reports, keeping teams informed on complex projects. See a real-world example of how a student capstone team used CI to bridge the gap between software and systems engineering,
The webpage discusses the challenges faced by a small team of Astronautical Engineers working on a complex project with significant embedded software components. The team members need to stay updated on various systems, which can slow down progress. To address this, the author implemented Continuous Integration using Python in their GitLab repository. This setup automates the building and running of the latest code, generates plots of the results, and keeps the project readme current without manual reporting. This automation allows team members to easily check progress and performance. Additionally, it streamlines the process of producing progress reports, alleviating delays caused by waiting on specific individuals to compile data. The public code for the Capstone project is available, with a specific repository link provided for access. The readme is regularly updated with charts, and the configuration file demonstrates a straightforward setup. Overall, this approach enhances collaboration and efficiency within the team.
This content was originally posted on my projects website here. The above summary was made by the Kagi Summarizer