Integrating SQA into the Robotic Software Development Lifecycle

Abstract

Software Quality Assurance (SQA) is integrated into the robotic software development lifecycle to improve robotic system dependability, safety, and performance in this research. The main goals are finding gaps in existing SQA procedures, presenting a specialized SQA integration architecture, and solving robotics difficulties, including hardware-software Integration, real-time processing, and machine learning validation; the research evaluates current SQA methodologies and proposes changes using secondary data from the literature, industry reports, and technical publications. Due to their intricate interconnections, hardware-in-the-loop (HIL) testing, real-time performance assessments, and automated Testing are crucial to the robotic system SQA. The report also notes resource requirements for extensive testing and simulation fidelity. Policy implications include standardizing testing techniques, investing in new simulation technology, and establishing safety and compliance regulations. The suggested paradigm addresses these difficulties to help design more dependable and competent robotic systems, improving robotics and its applications.