Automated Unit Testing Practice Based on The Embedded Software Development Platform

In modern technological systems, embedded software assumes a vital role, necessitating unwavering quality and reliability. Traditional testing methods, hindered by efficiency and coverage challenges, have spurred the quest for more potent alternatives. This study delves into the domain of automated testing within embedded software development, unveiling its advantages, methodologies, and impact on software quality. Through an exhaustive review spanning functional, interface, UI, and performance tests, coupled with empirical validation through experimental unit testing employing automated tools, the research illuminates the multifaceted merits of automated testing. Results underscore the rapid detection of issues, heightened precision, and overall testing efficacy. Diverse automated test categories, tailored for various facets of embedded software development, are unveiled, accompanied by the feasibility of achieving all-encompassing coverage through automated unit testing. To conclude, the pivotal significance of integrating automated testing via an embedded software development platform emerges. Adherence to best practices, encompassing meticulous tool selection, concise scripting, early and regular testing, and collaborative stakeholder engagement, guarantees efficacious strategies. By embracing diverse automated testing methodologies and best practices, developers are empowered to establish streamlined strategies, ensuring prompt and high-quality software delivery. Future research directions include embedded software security testing, machine learning, and AI applications, and the integration of automated testing and manual testing to meet the evolving needs of automated testing.