Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective

Alex Lotz, Juan F. Inglés-Romero, Dennis Stampfer, Matthias Lutz, Cristina Vicente-Chicote and Christian Schlegel
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Alex Lotz: University of Applied Sciences Ulm, Ulm, Germany
Juan F. Inglés-Romero: Universidad Politécnica de Cartagena, Cartagena, Spain
Dennis Stampfer: University of Applied Sciences Ulm, Ulm, Germany
Matthias Lutz: University of Applied Sciences Ulm, Ulm, Germany
Cristina Vicente-Chicote: QSEG, Universidad de Extremadura, Caceres, Spain
Christian Schlegel: University of Applied Sciences Ulm, Ulm, Germany

International Journal of Information System Modeling and Design (IJISMD), 2014, vol. 5, issue 3, 55-74

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jismd0:v:5:y:2014:i:3:p:55-74

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