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Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective
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Author(s): Alex Lotz (University of Applied Sciences Ulm, Germany), Juan F. Inglés-Romero (Universidad Politécnica de Cartagena, Spain), Dennis Stampfer (University of Applied Sciences Ulm, Germany), Matthias Lutz (University of Applied Sciences Ulm, Germany), Cristina Vicente-Chicote (QSEG, Universidad de Extremadura, Spain)and Christian Schlegel (University of Applied Sciences Ulm, Germany)
Copyright: 2017
Pages: 20
Source title:
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1759-7.ch099
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Abstract
Complex systems are executed in environments with a huge number of potential situations and contingencies, therefore a mechanism is required to express dynamic variability at design-time that can be efficiently resolved in the application at run-time based on the then available information. We present an approach for dynamic variability modeling and its exploitation at run-time. It supports different developer roles and allows the separation of two different kinds of dynamic variability at design-time: (i) variability related to the system operation, and (ii) variability associated with QoS. The former provides robustness to contingencies, maintaining a high success rate in task fulfillment. The latter focuses on the quality of the application execution (defined in terms of non-functional properties like safety or task efficiency) under changing situations and limited resources. The authors also discuss different alternatives for the run-time integration of the two variability management mechanisms, and show real-world robotic examples to illustrate them.
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