Research on Testability Modeling Methodology for Signal Processing Software Based on Multi-Signal Flow Graph

To enhance the fault detection and isolation capabilities of radar software, this study proposes a testability modeling method for signal processing software based on multi-signal flow graph (MSFG). The study begins by delineating the radar signal processing software, followed by a rigorous exposition of the MSFG model, testability modeling workflow, and the Testability-Oriented Design and Verification Platform (TesLab). Subsequently, the challenges in testability modeling for signal processing software are analyzed. By systematically examining the functional logic, fault modes, and test point configuration of the software, a testability model is established. Finally, the testability metrics of the model are evaluated, confirming that the model meets predefined requirements. This validation demonstrates the feasibility of the proposed modeling methodology and workflow, laying a foundation for improving fault detection and isolation in radar software.