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

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, Christian Schlegel
Copyright: © 2014 |Volume: 5 |Issue: 3 |Pages: 20
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781466654976|DOI: 10.4018/ijismd.2014070103
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MLA

Lotz, Alex, et al. "Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective." IJISMD vol.5, no.3 2014: pp.55-74. http://doi.org/10.4018/ijismd.2014070103

APA

Lotz, A., Inglés-Romero, J. F., Stampfer, D., Lutz, M., Vicente-Chicote, C., & Schlegel, C. (2014). Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective. International Journal of Information System Modeling and Design (IJISMD), 5(3), 55-74. http://doi.org/10.4018/ijismd.2014070103

Chicago

Lotz, Alex, et al. "Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective," International Journal of Information System Modeling and Design (IJISMD) 5, no.3: 55-74. http://doi.org/10.4018/ijismd.2014070103

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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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