A Novel approach of Efficient System Level Validation of Vehicle Interior Systems

Vehicle interior systems are becoming increasingly complex with the advent of modern vehicles, offering a growing array of features to users. As the complexity and number of features in vehicle interior systems increase, the volume of test cases at the system level grows exponentially. This necessitates rigorous regression testing with each software update to ensure system reliability and performance. The system engineering V model is a crucial framework for the design and development of complex systems, emphasizing the importance of testing at every level, including system, subsystem, and software. Effective validation at the system level involves numerous subsystems and their software interactions, making the testing process resource-intensive and time-consuming. During system-level testing, issues often arise that require fixes within various subsystems. After addressing these issues, retesting is necessary to ensure the changes do not negatively impact the overall system functionality. However, running all test cases for minor changes at the system level is impractical and inefficient, and isolated testing at the subsystem level does not suffice for system-level validation. This paper presents a methodology for the development and regression testing of vehicle interior systems, which can be applied to other vehicle systems as well. The methodology aims to identify regression test cases that ensure recent changes in subsystems do not impact the existing functionality of the overall system. By leveraging system engineering artefacts such as System Requirement Documents (SRD), Logical Architecture Diagrams (LAD), and use case diagrams, we can determine the optimal set of test cases to run when subsystems are modified. This approach ensures efficient and effective system-level testing, reducing resource expenditure while maintaining thorough validation.