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Auflistung nach Autor:in "Wasowski, Andrzej"

1 - 3 von 3
  • Konferenzbeitrag
    Behavior Trees and State Machines in Robotics Applications
    (Software Engineering 2024 (SE 2024), 2024) Ghzouli, Razan; Berger, Thorsten; Broch Johnsen, Einar; Wasowski, Andrzej; Dragule, Swaib
  • Konferenzbeitrag
    Intention-Based Integration of Software Variants
    (Software Engineering 2020, 2020) Lillack, Max; Stanciulescu, Stefan; Hedman, Wilhelm; Berger, Thorsten; Wasowski, Andrzej
    Cloning is a simple way to create new variants of a system. While cheap at first, it increases maintenance cost in the long term. Eventually, the cloned variants need to be integrated into a configurable platform. Such an integration is challenging: it involves merging the usual code improvements between the variants, and also integrating the variable code (features) into the platform. As such, variant integration differs from traditional software merging, which does not produce or organize configurable code, but creates a single system that cannot be configured into variants. In practice, variant integration requires fine-grained code edits, performed in an exploratory manner, in multiple iterations. Unfortunately, little tool support exists for integrating cloned variants. In this work, we show that fine-grained code edits needed for integration can be alleviated by a small set of integration intentions—domain-specific actions declared over code snippets controlling the integration. Developers can interactively explore the integration space by declaring (or revoking) intentions on code elements. We contribute the intentions (e.g., 'keep functionality' or 'keep as a configurable feature') and the IDE tool INCLINE, which implements the intentions and five editable views that visualize the integration process and allow declaring intentions producing a configurable integrated platform. In a series of experiments, we evaluated the completeness of the proposed intentions, the correctness and performance of INCLINE, and the benefits of using intentions for variant integration. The experiments show that INCLINE can handle complex integration tasks, that views help to navigate the code, and that it consistently reduces mistakes made by developers during variant integration.
  • Konferenzbeitrag
    Model Transformation Languages under a Magnifying Glass: A Controlled Experiment with Xtend, ATL, and QVT
    (Software Engineering and Software Management 2019, 2019) Hebig, Regina; Seidl, Christoph; Berger, Thorsten; Pedersen, John Kook; Wasowski, Andrzej
    In Model-Driven Software Development, models are processed automatically to support the creation, build, and execution of systems. A large variety of dedicated model-transformation languages exists, promising to efficiently realize the automated processing of models. To investigate the actual benefit of using such specialized languages, we performed a large-scale controlled experiment in which 78 subjects solved 231 individual tasks using three languages. The experiment sheds light on commonalities and differences between model transformation languages (ATL, QVT-O) and on benefits of using them in common development tasks (comprehension, change, and creation) against a modern general-purpose language (Xtend). The results of our experiment show no statistically significant benefit of using a dedicated transformation language over a modern general-purpose language. However, we were able to identify several aspects of transformation programming where domain-specific transformation languages do appear to help, including copying objects, context identification, and conditioning the computation on types.