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Auflistung nach Autor:in "Arendt, Thorsten"

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  • Konferenzbeitrag
    Deducing model metrics from meta models
    (Modellierung 2016, 2016) Nassar, Nebras; Arendt, Thorsten; Taentzer, Gabriele
    The use of model-based software development has become more and more popular because it aims to increase the quality of software development. Therefore, the number and the size of model instances are cumulatively growing and software quality and quality assurance consequently lead back to the quality and quality assurance of the involved models. For model quality assurance, several quality aspects can be checked by the use of dedicated metrics. However, when using a domain specific modeling language, the manual creation of metrics for each specific domain is a repetitive and tedious process. In this paper, we present an approach to derive basic model metrics for any given modeling language by defining metric patterns typed by the corresponding meta-meta model. We discuss several concrete patterns and present an Eclipse-based tool which automates the process of basic model metrics derivation, generation, and calculation.
  • Konferenzbeitrag
    RuleMerger: Automatic Construction of Variability-Based Model Transformation Rules
    (Software Engineering 2017, 2017) Strüber, Daniel; Rubin, Julia; Arendt, Thorsten; Chechik, Marsha; Taentzer, Gabriele; Plöger, Jennifer
    We present a summary of our paper of the same title, published in the proceedings of the International Conference on Fundamental Approaches to Software Engineering (FASE) 2016. Unifying similar model transformation rules into variability-based ones can improve both the main- tainability and the performance of a model transformation system. Yet, manual identification and unification of such similar rules is a tedious and error-prone task. In this work, we propose a novel merging approach for automating this task. The approach employs clone detection for identifying overlapping rule portions and clustering for selecting groups of rules to be unified. Our instantiation of the approach harnesses state-of-the-art clone detection and clustering techniques and includes a specialized merge construction algorithm. We formally prove correctness of the approach and demonstrate its ability to produce high-quality outcomes in two real-life case-studies.
  • Konferenzbeitrag
    Towards syntactical model quality assurance in industrial software development: process definition and tool support
    (Software Engineering 2011 – Fachtagung des GI-Fachbereichs Softwaretechnik, 2011) Arendt, Thorsten; Kranz, Sieglinde; Mantz, Florian; Regnat, Nikolaus; Taentzer, Gabriele
    The paradigm of model-based software development has become more and more popular, since it promises an increase in the efficiency and quality of software development. Following this paradigm, models become primary artifacts in the software development process where quality assurance of the overall software product considerably relies on the quality assurance of involved software models. In this paper, we concentrate on the syntactical dimension of model quality which is analyzed and improved by model metrics, model smells, and model refactorings. We propose an integration of these model quality assurance techniques in a predefined quality assurance process being motivated by specific industrial needs. By means of a small case study, we illustrate the model quality assurance techniques and discuss Eclipse-based tools which support the main tasks of the proposed model quality assurance process.