Continuous Integration and Continuous Delivery Based on ARM Cortex-M4 Embedded Software Automation Testing

Abstract

This paper explores how automated testing can be effectively integrated into the continuous integration and continuous delivery (CI/CD) process to enhance development efficiency and software quality in embedded systems. Despite the increasing complexity of embedded software, traditional testing methods often struggle with long development cycles and poor cross-team collaboration. To address these challenges, this study proposes a novel strategy that incorporates automated GPU-based testing pipelines into CI/CD workflows. The approach involves designing and embedding automated testing modules within existing build and deployment stages using standardized testing frameworks and monitoring tools.The proposed strategy was validated through real-world embedded system projects. Experimental results demonstrated significant reductions in testing time, improved software reliability, and enhanced team coordination. Furthermore, example validations confirmed the consistency and effectiveness of the approach across different system architectures. The discussion analyzes the broader impact of automated testing within CI/CD pipelines, highlighting both the performance benefits and implementation challenges.This research contributes to the ongoing innovation in embedded systems development by offering a practical solution to common testing bottlenecks. It encourages the wider adoption of automated testing to meet dynamic market demands, improve software quality, and increase overall customer satisfaction. Future work will explore further optimization of feedback mechanisms and integration tools to support more scalable and efficient testing architectures.