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Auflistung nach Autor:in "Thaden, Eike"

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  • Konferenzbeitrag
    A design space exploration framework for model-based software-intensive embedded system development
    (Software Engineering 2013 - Workshopband, 2013) Büker, Matthias; Henkler, Stefan; Schlegel, Stefanie; Thaden, Eike
    We propose an abstract framework for Design Space Exploration (DSE) in the context of model-based embedded system development. The goal is to enable the integration of a set of concrete DSE methods addressing different system characteristics and design goals while still having a common understanding of design artifacts.
  • Konferenzbeitrag
    Organizational Learning via Case Studies in Software Migration Projects
    (Informatik 2005 – Informatik Live! Band 2, 2005) Thaden, Eike; Bischofs, Ludger; Uslar, Mathias; Reussner, Ralf
    An approach employing case studies for gaining knowledge within software migration projects is presented. First the empirical method case study is defined and later compared to the method of post mortem analysis. We then apply the case study method to the domain of migrating software and discuss the advantages within the context of two industrial case studies conducted with partners. These two case studies are embedded into a larger project investigating knowledge management in software development processes.
  • Konferenzbeitrag
    Rollenkonzepte für das Wissensmanagement in der Softwareentwicklung
    (Informatik 2005 – Informatik Live! Band 2, 2005) Bischofs, Ludger; Thaden, Eike
  • Konferenzbeitrag
    A system for seamless abstraction layers for model-based development of embedded software
    (Software Engineering 2010 – Workshopband (inkl. Doktorandensymposium), 2010) Thyssen, Judith; Ratiu, Daniel; Schwitzer, Wolfgang; Harhurin, Alexander; Feilkas, Martin; Thaden, Eike
    Model-based development aims at reducing the complexity of software development by the pervasive use of adequate models throughout the whole development process starting from early phases up to implementation. In this paper we present a conceptual framework to holistically classify developed models along different levels of abstraction. We do this by defining adequate abstractions for different development stages while ignoring the information that is not relevant at a particular development step or for a certain stakeholder. The abstraction is achieved in terms of the granularity level of the system under study (e. g. system, sub-system, sub-sub-system) and in terms of the information that the models contain (e. g. specification of functionality, description of architecture, deployment on specific hardware). We also present the relation between models that describe different perspectives of the system or are at different granularity levels. However, we do not address the process to be followed for building these models.