The topic of this thesis is an analysis of testing software processes for selected IT department in an international financial institution followed by subsequent optimization based on the identified deficiencies. The paper firstly describes the problem of software testing in general. Next part is about explanation of the concept and modeling of business processes. Second part of the thesis is about an examination of the selected development department. and it describes its applications and the present status of testing. Based on the deficiencies found during the analysis, there are described some proposals to increase effectivity of testing processes.

This diploma thesis deals with issue of quality monitoring and final product testing at the AKD line. Output of this thesis is calculation of testing time optimization by Weibull distribution. In the beginning reader is familiar with AKD device, what quality management is and ways how to test final products in electrotechnical manufacturing. Main goal of this thesis is to describe differences between testing methods and optimize Burn-In testing method.

Die im Forschungsprojekt MAI Skelett erarbeitete Skelettbauweise konnte das Potential endlos, kohlenstofffaserverstärkter Thermoplastprofile aufzeigen. Um das gesamte wirtschaftliche Potential dieser Hybridbauweise nutzten zu können, bedarf es der weitergehenden Analyse des parallelen Einsatzes unterschiedlicher Verstärkungsfasern. In dieser Arbeit wird das Verhalten von Kohlenstofffaser-, Glasfaser- und deren Hybridprofilen mit einem Querschnitt von exemplarisch 10 mm x 10 mm unter den Hauptbelastungsarten betrachtet. Hierfür werden die Profile mechanisch charakterisiert und die Übertragbarkeit der Eigenschaften auf reale Bauteile am Beispiel des Windlaufs einer Fahrzeugkarosserie simulativ und experimentell überprüft. Zudem wird eine Materialauswahl, unter Nutzung von Optimierungsalgorithmen, in den Auslegungsworkflow der Skelettbauweise integriert. Diese werden zur Minimierung der Materialkosten bei Einhaltung der mechanischen Randbedingungen genutzt.:1 Einleitung und Motivation 2 Stand der Technik und Wissenschaft 3 Zielsetzung und Vorgehensweise 4 Betrachtete Materialien 5 Charakterisierung endlosfaserverstärkter Thermoplastprofile 6 Bauteilauswahl und -optimierung 7 Experimentelle Validierung der Optimierung am Beispiel des Windlaufs 8 Zusammenfassung und Ausblick / The so called „Skeleton Design“ was developed within the research project MAI Skelett. It showed the potential of continuous fiber reinforced thermoplastic materials. In order to exploit the total economic potential of this hybrid design, the parallel usage of different reinforcement fibers must be investigated. In this thesis the mechanical behavior of carbon, glass and hybrid fiber reinforced profiles with a cross-section of exemplary 10 mm x 10 mm under the main loading conditions are examined. These mechanical properties are investigated regarding their potential to be transferred to real parts using experimental testing and simulation. In order to identify suitable parts within the automotive body in white structure a valuation method is developed for objective selection of expedient parts using the load exposure and function of the single part within the whole body in white structure. Furthermore, a material selection method is integrated into the design process of parts in „Skeleton Design“. Therefore, optimization algorithms are used in order to minimize the material costs under mechanical boundary conditions.:1 Einleitung und Motivation 2 Stand der Technik und Wissenschaft 3 Zielsetzung und Vorgehensweise 4 Betrachtete Materialien 5 Charakterisierung endlosfaserverstärkter Thermoplastprofile 6 Bauteilauswahl und -optimierung 7 Experimentelle Validierung der Optimierung am Beispiel des Windlaufs 8 Zusammenfassung und Ausblick

Embedded systems hold immense potential, but their integration into advanced devices comes with significant costs. Malfunctions in these systems can result inequipment failures, posing serious risks and potential accidents. To ensure theirproper functionality, embedded system components undergo rigorous testing phases,which can be time-consuming, especially for components with numerous connections. Therefore, it is crucial to reduce test time while maintaining high-qualitytesting to detect and address failures early in the development cycle, resulting in improved and safer products. This report delves into various techniques and algorithms aimed at expediting testingprocesses, such as machine learning, risk analysis, test parallelization, and combinatorial testing. It examines the practicality of mathematical models and automatedapproaches in real-world companies through experimentation and implementation.In essence, the report tackles the challenges involved in testing embedded systems,explores different approaches to reduce test time, and presents a suitable model formaintaining test quality. The ultimate goal is to present and implement a methodthat effectively reduces test time while upholding an acceptable level of test quality.The obtained results provide valuable insights for future test groups and researchersseeking to optimize their testing processes and deliver safer products