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Thomas Vogel

Model-controlled engineering of self-efficient software


thomas bird. "Model-controlled engineering of self-effective software". Doctoral thesis, University of Potsdam, Germany, 2018.

graduated summa cum laude .

Prof. Holger Giese (University of Potsdam, Germany)
Prof. Betty H.C. Cheng (Michigan State University)
Prof. Samuel Kounev (University of WГјrzburg, Germany)

(filed: 30.01.2017, defended: 19.03.2018, published: 23.04.2018)


  • Dissertation at the University of Potsdam (Open Access)
  • direct download of the dissertation (open access)


The development of self-adaptive software requires the engineering of an adjustment module, which controls the underlying customizable software by a feedback loop. State-of-the-art approaches prescribe the feedback loop in terms of numbers, such as the activities (eg monitoring, analyzing, planning and executing (MAPE)) and the knowledge of a feedback loop and the type of knowledge are structured. In addition, the feedback loop is usually hidden in the implementation or frame and therefore not visible in the architectural design. In addition, a customization engine often uses runtime models that either represent the customizable software or capture strategic knowledge such as reconfiguration strategies. State-of-the-art approaches do not work systematically to the interaction of such runtime models, which would otherwise freely design the developers the entire feedback loop.

This work presents the executable runtime megamo models (EUREMA), an integrated, model-controlled engineering solution (MDE), which strictly uses models for engineering feedback loops. The EUREMA offers a domain-specific modeling language to specify, and a interpreter to run feedback loops. The language allows developers to freely design a feedback loop with respect to the activities and runtime models and the number of feedback loops. It also supports the structuring of feedback loops in the adaptation machine following a layered architectural style. Thus, the EUREMA explicitly makes feedback in the design and enables developers to design explanations.

To address the interaction of runtime models, we suggest the concept of a runtime megamodel, a runtime model that contains other runtime models as well as activities (eg MAPE) working on the models contained. This concept is the basic principle of Eurema. The resulting EUREMA models (MEGA) are held alive at runtime, and they are executed directly from the EUREMA interpreter to execute the feedback loops. The interpretation offers the flexibility to dynamically adapt a feedback loop. In this context, the EUREMA supports the technical, self-efficient software, in the feedback loops independently or in the same plane in the same level and on each other in different layers of the adjustment motor. In addition, we consider preliminary means to develop self-adaptive software by providing a maintenance interface to the customization machine.

This work is discussed in detail Euroma by applying to various scenarios such as individual, multiple, multiple and stacked feedback loops for self-repair and self-optimization of the MRaubis application. In addition, it examines the design and expressiveness of Eurema, report experiments with an ongoing system (MRaubis) and with alternative solutions and assesses Eurema with regard to quality attributes such as performance and scalability.

The evaluation carried out indicates that Eurema is seamlessly integrated as an integrated and open MDE approach to the technical, self-adaptive software, which use developing and runtime environments with the same formalism to indicate and execute feedback loops, supports dynamic adjustment From feedback loops in the area architectures and achieves efficient execution of feedback loops by using the incrementality.

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