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Efficient parallel reasoning on fuzzy goal models for run time requirements verification

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Abstract

As software applications become highly interconnected in dynamically provisioned platforms, they form the so-called systems-of-systems. Therefore, a key issue that arises in such environments is whether specific requirements are violated, when these applications interact in new unforeseen ways as new resources or system components are dynamically provisioned. Such environments require the continuous use of frameworks for assessing compliance against specific mission critical system requirements. Such frameworks should be able to (a) handle large requirements models, (b) assess system compliance repeatedly and frequently using events from possibly high velocity and high frequency data streams, and (c) use models that can reflect the vagueness that inherently exists in big data event collection and in modeling dependencies between components of complex and dynamically re-configured systems. In this paper, we introduce a framework for run time reasoning over medium and large-scale fuzzy goal models, and we propose a process which allows for the parallel evaluation of such models. The approach has been evaluated for time and space performance on large goal models, exhibiting that in a simulation environment, the parallel reasoning process offers significant performance improvement over a sequential one.

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Notes

  1. http://www.cs.toronto.edu/~jenhork/.

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Acknowledgments

This research has been co-financed by the European Union (European Social Fund ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)—Research Funding Program: Heracleitus II. Investing in knowledge society through the European Social Fund. We would also like to thank Dr. Jennifer Horkoff for providing us with a set of real-life requirement’s models.

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  1. Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

    George Chatzikonstantinou

  2. Department of Computer Science, Western University, London, Canada

    Kostas Kontogiannis

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  1. George Chatzikonstantinou
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Correspondence to George Chatzikonstantinou.

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Communicated by Prof. Marsha Chechik.

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Chatzikonstantinou, G., Kontogiannis, K. Efficient parallel reasoning on fuzzy goal models for run time requirements verification. Softw Syst Model 17, 1339–1364 (2018). https://doi.org/10.1007/s10270-016-0562-9

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