Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Comparing the Applicability of Complexity Measurements for Simulink Models During Integration

  • Abstract

    This presentation was part of the Second International Workshop on Software Architecture Metrics, held at the 37th International Conference on Software Engineering.

    Context: Simulink models are used during software integration testing in the automotive domain on hardware in the loop (HIL) rigs. As the amount of software in cars is increasing continuously, the number of Simulink models for control logic and plant models is growing at the same time. 

    Objective: This study investigates the applicability of three approaches for evaluating model complexity in an industrial setting. Additionally, insights on the understanding of maintainability in industry are gathered. 

    Method: Simulink models from two vehicle projects at a German premium car manufacturer are evaluated by applying the following three approaches: Assessing a model’s (a) size, (b) structure, and (c) signal routing. Afterward, an interview study is conducted, followed by an on-site workshop in order to validate the findings. 

    Results: The measurements of 65 models resulted in comparable data for the three measurement approaches. Together with the interview studies, conclusions were drawn about how well each approach reflects the experts' opinions. Additionally, it was possible to get insights on maintainability in an industrial setting. 

    Conclusion: By analyzing the results, differences between the three measurement approaches were revealed. The interviews showed that the expert opinion tends to favor the results of the simple size measurements over the measurement, including the signal routing.

  • Slides