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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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Related Experiment Video

Updated: Sep 6, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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Method for Continuous Integration and Deployment Using a Pipeline Generator for Agile Software Projects.

Ionut-Catalin Donca¹, Ovidiu Petru Stan¹, Marius Misaros¹

¹Department of Automation, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.

Sensors (Basel, Switzerland)

|June 24, 2022

Summary

This paper introduces an automated pipeline approach for Agile continuous integration (CI) and continuous delivery (CD) projects. The solution enhances delivery timelines, reduces interruptions, and boosts productivity through standardization and automation.

Keywords:

agile configuration management containerization continuous delivery continuous integration git version management

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Area of Science:

Software Engineering
DevOps Practices
Automation

Background:

The software industry faces increasing demand for rapid feature deployment.
Agile practices and DevOps principles aim to improve collaboration and delivery speed.
Existing CI/CD pipelines can face challenges with bugs, failures, and delivery timelines.

Purpose of the Study:

To present an automated pipeline approach for Agile CI/CD projects.
To overcome common delivery challenges in software development.
To enhance project efficiency, stability, and productivity.

Main Methods:

Developed an automated pipeline solution using Bash scripting.
Integrated multiple test steps to decrease system interruption.
Implemented Docker layer caching and Helm for Kubernetes deployments.

Main Results:

The pipeline approach improves delivery timelines and test load management.
It enhances system stability and deliverability through standardization.
Experimental results demonstrate the solution's effectiveness in automating Agile CI/CD projects.

Conclusions:

The proposed automated pipeline offers an effective method for managing Agile CI/CD projects.
It standardizes processes, reduces ambiguity, and boosts productivity.
Future work includes expanding platform compatibility.