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Die vorliegende Forschungsarbeit beschäftigt sich mit der Positionierung und anbieterinternen Kommunikation der innovativen IT-Architektur SOA. Die zentralen Ziele der vorliegenden explorativen und empirischen Forschungsarbeit, die im Kontext der Innovations-Erfolgsfaktorenforschung angesiedelt ist, bestehen in der Beantwor-tung der beiden folgenden forschungsleitenden Fragestellungen:
Forschungsfrage 1: Welche Bedingungen tragen zu einer erfolgreichen Positionierung von SOA bei? Forschungsfrage 2: Welche Bedingungen tragen zu einer erfolgreichen anbieterinternen Kommunikation bezüglich SOA bei? Zur Überprüfung dieser beiden Forschungsfragen wurde ein zweistufiges Delphi-Verfahren durchgeführt. Hierbei wurde zunächst eine qualitative Befragungswelle (N=53) zur Identifizierung der SOA-Positionierungsbedingungen und anbieterinternen SOA-Kommunikations-bedingungen durchgeführt. Insgesamt wurden in der ersten Befragungswelle 122 SOA-Positionierungsbedingungen identifiziert, die sich in 65 Bedingungen auf Anbieterseite, 35 Bedingungen auf Kundenseite, 19 Bedingungen auf SOA-Seite und 3 Bedingungen aufseiten des weiteren Umfeldes aufteilen. Im Rahmen der anbieterinternen SOA-Kommunikation konnten 31 Bedingungen identifiziert werden. Die in der ersten Welle identifizierten SOA-Positionie-rungsbedingungen und anbieterinternen SOA-Kommunikationsbedingungen wurden mittels der zweiten Befragungswelle (N=83) einer quantitativen Analyse unterzogen. Somit liefert die vorliegende Studie Bedingungen, die sowohl zu einer erfolgreichen SOA-Positionierung als auch zu einer erfolgreichen anbieterinternen SOA-Kommunikation beitragen.
Die Resultate dieser Arbeit werden zusammengefasst und theoretisch eingeordnet. Ebenfalls wird die methodische Vorgehensweise kritisch diskutiert und die Güte der Daten beurteilt. Schließlich wird ein Ausblick auf zukünftige Forschungsfelder gegeben.
Traditional Driver Assistance Systems (DAS) like for example Lane Departure Warning Systems or the well-known Electronic Stability Program have in common that their system and software architecture is static. This means that neither the number and topology of Electronic Control Units (ECUs) nor the presence and functionality of software modules changes after the vehicles leave the factory.
However, some future DAS do face changes at runtime. This is true for example for truck and trailer DAS as their hardware components and software entities are spread over both parts of the combination. These new requirements cannot be faced by state-of-the-art approaches of automotive software systems. Instead, a different technique of designing such Distributed Driver Assistance Systems (DDAS) needs to be developed. The main contribution of this thesis is the development of a novel software and system architecture for dynamically changing DAS using the example of driving assistance for truck and trailer. This architecture has to be able to autonomously detect and handle changes within the topology. In order to do so, the system decides which degree of assistance and which types of HMI can be offered every time a trailer is connected or disconnected. Therefore an analysis of the available software and hardware components as well as a determination of possible assistance functionality and a re-configuration of the system take place. Such adaptation can be granted by the principles of Service-oriented Architecture (SOA). In this architectural style all functionality is encapsulated in self-contained units, so-called Services. These Services offer the functionality through well-defined interfaces whose behavior is described in contracts. Using these Services, large-scale applications can be built and adapted at runtime. This thesis describes the research conducted in achieving the goals described by introducing Service-oriented Architectures into the automotive domain. SOA deals with the high degree of distribution, the demand for re-usability and the heterogeneity of the needed components.
It also applies automatic re-configuration in the event of a system change. Instead of adapting one of the frameworks available to this scenario, the main principles of Service-orientation are picked up and tailored. This leads to the development of the Service-oriented Driver Assistance (SODA) framework, which implements the benefits of Service-orientation while ensuring compatibility and compliance to automotive requirements, best-practices and standards. Within this thesis several state-of-the-art Service-oriented frameworks are analyzed and compared. Furthermore, the SODA framework as well as all its different aspects regarding the automotive software domain are described in detail. These aspects include a well-defined reference model that introduces and relates terms and concepts and defines an architectural blueprint. Furthermore, some of the modules of this blueprint such as the re-configuration module and the Communication Model are presented in full detail. In order to prove the compliance of the framework regarding state-of-the-art automotive software systems, a development process respecting today's best practices in automotive design procedures as well as the integration of SODA into the AUTOSAR standard are discussed. Finally, the SODA framework is used to build a full-scale demonstrator in order to evaluate its performance and efficiency.
Identifying reusable legacy code able to implement SOA services is still an open research issue. This master thesis presents an approach to identify legacy code for service implementation based on dynamic analysis and the application of data mining techniques. rnrnAs part of the SOAMIG project, code execution traces were mapped to business processes. Due to the high amount of traces generated by dynamic analyses, the traces must be post-processed in order to provide useful information. rnrnFor this master thesis, two data mining techniques - cluster analysis and link analysis - were applied to the traces. First tests on a Java/Swing legacy system provided good results, compared to an expert- allocation of legacy code.