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Auflistung nach Schlagwort "variability"

1 - 3 von 3
  • Konferenzbeitrag
    Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis
    (Software Engineering 2020, 2020) Schlie, Alexander; Schulze, Sandro; Schaefer, Ina
    Model-based languages such as MATLAB/Simulink are crucial for the development of embedded software systems. To adapt to changing requirements, engineers commonly copy and modify existing systems to create new variants. Denoted clone-and-own, this straightforward reuse strategy entails severe maintenance and consistency issues as redundant and similar assets proliferate. Software product lines can be a remedy but require all existing variants to be compared prior to their actual migration. However, current work mostly revolves around comparing only two systems and those approaches coping with more are not applicable to embedded software systems such as MATLAB/Simulink. We bridge this gap and propose Static Connectivity Matrix Analysis (SCMA), a novel comparison procedure that evaluates multiple MATLAB/Simulink model variants at once. We transfer models into matrix form and identify all similar structures between them, even with parts being completely relocated during clone-and-own. Moreover, we allow engineers to tailor results and to focus on any arbitrary variant subset, enabling individual reasoning prior to migration. We provide a feasibility study from the automotive domain, showing our matrix representation to be suitable and SCMA to be fast and precise.
  • Konferenzbeitrag
    Optimal Product Line Architectures for the Automotive Industry
    (Modellierung 2018, 2018) Wägemann, Tobias; Tavakoli Kolagari, Ramin; Schmid, Klaus
    The creation of product line architectures is a difficult and complex task. The resulting architectures must support the required system variabilities as well as further quality attributes. In the automotive domain, product lines of software-intensive system models have a great diversity of products, which leads to vast design spaces. Finding optimal product line architectures as part of the system design process requires the consideration of a variety of trade-offs. In practice, this challenge cannot be solved manually for all but the smallest problems, therefore an automated solution is required. Our contribution is the generation of a sound mathematical formalization of the problem. This formalization makes the product line optimization problem accessible to various established multi-objective optimization techniques. The applicability of the chosen approach is shown by means of applying a commercial tool for multi-criteria decision making.
  • ConferencePaper
    Variability Representations in Class Models: An Empirical Assessment (Summary)
    (Software Engineering 2021, 2021) Strüber, Daniel; Anjorin, Anthony; Berger, Thorsten
    We present our paper originally published in the proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems 2020 (MODELS). Owing to the ever-growing need for customization, software systems often exist in many different variants. To avoid the need to maintain many different copies of the same model, developers of modeling languages and tools have recently started to provide representations for such variant-rich systems, notably variability mechanisms that support the implementation of differences between model variants. Available mechanisms either follow the annotative or the compositional paradigm, each of them having unique benefits and drawbacks. Language and tool designers select the used variability mechanism often solely based on intuition. A better empirical understanding of the comprehension of variability mechanisms would help them in improving support for effective modeling. In this paper, we present an empirical assessment of annotative and compositional variability mechanisms for class models. We report and discuss findings from an experiment with 73 participants, in which we studied the impact of the chosen variability mechanisms during model comprehension tasks. We find that, compared to the baseline of listing all model variants separately, the annotative technique did not affect developer performance. Use of the compositional mechanism correlated with impaired performance. For a subset of our tasks the annotative mechanism is preferred to the compositional one and the baseline. We present actionable recommendations concerning support of flexible, tasks-specific solutions, and the transfer of best established best practices from the code domain to models.