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Auflistung nach Autor:in "Tiedeken, Julian"

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  • Konferenzbeitrag
    Konzeption eines SOA-Repository mit Analysefähigkeiten
    (Informatik 2014, 2014) Bauer, Thomas; Buchwald, Stephan; Tiedeken, Julian; Reichert, Manfred
    In einer SOA werden bereitgestellte Services von Servicenutzern, etwa fremden IT-Systemen konsumiert. Eine Serviceänderung bzw. -abschaltung kann solche Servicenutzer schwer beeinträchtigen. Deshalb müssen diese vor einem solchen Eingriff ermittelt werden, wozu das SOA-Repository genutzt werden kann. Allerdings ist bei umfangreichen SOA-Repositories schwer erkennbar, welche IT- Systeme (evtl. indirekt) in welchem Zeitraum betroffen sein werden. Da diese Problemstellung in der bisherigen SOA-Literatur nicht betrachtet wird, stellen wir ein Lösungskonzept vor. Es ermöglicht automatisierte Analysen, um in den Daten enthaltene Problemsituationen zu identifizieren (Ist-Analysen), und auch, um Auswirkungen zukünftig durchzuführender Serviceänderungen zu simulieren (Planspiele).
  • Konferenzbeitrag
    Managing complex data for electrical/electronic components: challenges and requirements
    (Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband, 2013) Tiedeken, Julian; Herbst, Joachim; Reichert, Manfred
    In the automotive domain, innovation is driven by the introduction and continuous improvement of electrical and electronic (E/E) components (e.g. sensors, actuators, and electronic control units). This trend is accompanied by increasing complexity of interdependencies between these E/E components. In addition, external impact factors (e.g. changes of regulations) demand for more sophisticated E/E product data management (E/E-PDM). Since E/E product data is scattered over distributed heterogeneous IT systems, application-spanning use cases (e.g. consistency of artifacts, plausibility of logical connections between electronic control units) are difficult to realize. Consequently, the partial integration of the corresponding application data models becomes necessary. Evolution of application data models is common in the context of E/E-PDM, but not considered by existing application integration approaches. Furthermore, no methodology for realizing application integration models exists. This paper elaborates the challenges to be tackled when integrating E/E product data from different applications. It further presents properties of the IT landscape involved in E/E-PDM and reveals occurring problems. Finally, requirements for E/E-PDM are discussed.
  • Zeitschriftenartikel
    On the Integration of Electrical/Electronic Product Data in the Automotive Domain
    (Datenbank-Spektrum: Vol. 13, No. 3, 2013) Tiedeken, Julian; Reichert, Manfred; Herbst, Joachim
    The recent innovation of modern cars has mainly been driven by the development of new as well as the continuous improvement of existing electrical and electronic (E/E) components, including sensors, actuators, and electronic control units. This trend has been accompanied by an increasing complexity of E/E components and their numerous interdependencies. In addition, external impact factors (e.g., changes of regulations, product innovations) demand for more sophisticated E/E product data management (E/E-PDM). Since E/E product data is usually scattered over a large number of distributed, heterogeneous IT systems, application-spanning use cases are difficult to realize (e.g., ensuring the consistency of artifacts corresponding to different development phases, plausibility of logical connections between electronic control units). To tackle this challenge, the partial integration of E/E product data as well as corresponding schemas becomes necessary. This paper presents the properties of a typical IT system landscape related to E/E-PDM, reveals challenges emerging in this context, and elicits requirements for E/E-PDM. Based on this, insights into our framework, which targets at the partial integration of E/E product data, are given. Such an integration will foster E/E product data integration and hence contribute to an improved E/E product quality.