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Auflistung nach Autor:in "Ghofrani, Javad"

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  • 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
    Searching for Common Ground
    (Software Engineering und Software Management 2018, 2018) Hohl, Philipp; Ghofrani, Javad; Münch, Jürgen; Stupperich, Michael; Schneider, Kurt
    In Proceedings of 2017 International Conference on Software and Systems Process, Paris, France, July 2017 (ICSSP’17), 10 pages. DOI: 10.1145/3084100.3084109 Automotive development processes are significantly influenced by digital transformation and need to be adapted. Agile methods are a promising approach but they are not tailored to the specific characteristics of the automotive domain like product line development. Although, there have been efforts to apply agile methods in the automotive domain, widespread adoptions have not yet taken place. This literature review gives an overview of agile methods for embedded software development in the automotive domain, especially with respect to software product lines (SPLs). A mapping study was conducted to analyze the relation between agile software development (ASD), automotive embedded software development and SPLs. Three research questions were defined and 68 papers were evaluated. The study shows that ASD and SPL approaches tailored for the automotive domain are not yet fully explored in the literature. Only few approaches for combining ASD and SPLs in the automotive domain were found, these findings were valuable for identifying research gaps and provide insights into how existing approaches can be combined, extended and tailored to suit the characteristics of the automotive domain.