| Bibliography | Klein, Johannes: Automatic Performance Problem Diagnostics for Embedded Software. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 120 (2025). 133 pages, english.
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| Abstract | Context: The reliability of an embedded system and its functionality is a crucial factor for the success of a product on the market. This reliability of functionality corresponds directly to the performance of the embedded software. Problem: Observing and resolving performance problems correlates with the point in time of the development process. The later the detection, the higher the cost [Ins]. Additionally, manual testing to observe these issues is often infeasible, considering a test during code integration. Objective: There exists a concept which enables the automatic performance problem diagnostics of run-time based enterprise software. The objective is to adapt this concept to be applicable to the domain of embedded software. Method: In order to adapt the concept, every aspect of it needs to be analyzed in context of embedded systems and software. The adaptation is evaluated in form of a case study, conducting different experiments with the iMOW®as test subject. Result: The concept is successfully adopted to the domain of embedded software, correctly detecting the presence and absence of performance problems of the iMOW®. Conclusion: Adapting the concept provides a new possibility to automatically diagnose the existence of performance problems of embedded software, which can be implemented to improve its development process.
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| Department(s) | University of Stuttgart, Institute of Software Technology, Software Quality and Architecture
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| Superviser(s) | Becker, Prof. Steffen |
| Entry date | August 13, 2026 |
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