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Auflistung nach Schlagwort "Hybrid Methods"

1 - 3 von 3
  • Konferenzbeitrag
    Privacy, Utility, Effort, Transparency and Fairness: Identifying and Swaying Trade-offs in Privacy Preserving Machine Learning through Hybrid Methods
    (INFORMATIK 2024, 2024) Eleks, Marian; Ihler Jakob; Rebstadt, Jonas; Kortum-Landwehr, Henrik; Thomas, Oliver
    As Artificial Intelligence (AI) permeates most economic sectors, the discipline Privacy Preserving Machine Learning (PPML) gains increasing importance as a way to ensure appropriate handling of sensitive data in the machine learning process. Although PPML-methods stand to provide privacy protection in AI use cases, each one comes with a trade-off. Practitioners applying PPML-methods increasingly request an overview of the types and impacts of these trade-offs. To aid this gap in knowledge, this article applies design science research to collect trade-off dimensions and method impacts in an extensive literature review. It then evaluates the specific trade-offs with a focus group of experts and finally constructs an overview over PPML-methods and method combinations’ impact. The final trade-off dimensions are privacy, utility, effort, transparency, and fairness. Seven PPML-methods and their combinations are evaluated according to their impact in these dimensions, resulting in a vast collection of design knowledge and identified research gaps.
  • Konferenzbeitrag
    Reusability in Artificial Neural Networks: An Empirical Study
    (Software Engineering 2020, 2020) Ghofrani, Javad; Kozegar, Ehsan; Bozorgmehr, Arezoo; Soorati, Mohammad Divband
    This manuscript summarizes our empirical study on reuse in the context of Artificial Neural Networks (ANNs) extensively described in [Gh19b] as a paper with the same title, presented in 2nd International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2019)
  • Konferenzbeitrag
    What are Hybrid Development Methods Made Of?
    (Software Engineering 2020, 2020) Tell, Paolo; Klünder, Jil; Küpper, Steffen; Raffo, David; MacDonell, Stephen G.; Münch, Jürgen; Pfahl, Dietmar; Linssen, Oliver; Kuhrmann, Marco
    Regardless of company size or industry sector, a majority of project teams and companies use customized processes that combine different development methods-so-called hybrid development methods. Even though such hybrid development methods are highly individualized, a common understanding of how to systematically construct synergetic practices is missing. Based on 1,467 data points from a large-scale online survey among practitioners, we study the current state of practice in process use to answer the question: What are hybrid development methods made of? Our findings reveal that only eight methods and few practices build the core of modern software development. This small set allows for statistically constructing hybrid development methods.