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- W2395749673 abstract "Different models are involved in the automotive development process. In the integration phase, AUTOSAR is often the only model description available for a controller. The models that were used to generate the behavioral code (e.g., SIMULINK®) and sometimes even the source code itself are often not available due to IP protection. The controller software is verified using simulation-based testing, which may involve different kinds of environment models and legacy components. When a test fails, developers need to find the cause of the error. Even if the source code is available, source code debugging can be difficult, because the code has often been generated and thus may be confusing. Developers then use signal plotting for known variables, but plots can be ambiguous and lead to false conclusions. Therefore, exploiting the structural and semantic information of the involved models for debugging can be a valuable addition. However, the methods and tooling available are rather limited. Most of the existing approaches only consider live debugging. The intended PhD thesis aims at developing a methodology and tooling for debugging that makes better use of the models and the simulation data. It includes the application of techniques like slicing and the use of model hierarchies. A case study is planned in an industry context." @default.
- W2395749673 created "2016-06-24" @default.
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- W2395749673 date "2015-01-01" @default.
- W2395749673 modified "2023-10-01" @default.
- W2395749673 title "Debugging Models in the Context of Automotive Software Development." @default.
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