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Experience building non-functional requirement models of a complex industrial architecture


Gouvêa, Daniel D; Muniz, Cyro; Pinto, Gilson; Avritzer, Alberto; Leão, Rosa M M; de Souza e Silva, Edmundo; Diniz, Morganna C; Berardinelli, Luca; Leite, Julius C B; Mossé, Daniel; Cai, Yuanfang; Dalton, Mike; Kapova, Lucia; Koziolek, Anne (2011). Experience building non-functional requirement models of a complex industrial architecture. In: 2nd joint WOSP/SIPEW international conference on Performance engineering (ICPE'2011), Karlsruhe, Germany, 14 March 2011 - 16 March 2011, 43-54.

Abstract

In this paper, we report on our experience with the application of validated models to assess performance, reliability, and adaptability of a complex mission critical system that is being developed to dynamically monitor and control the position of an oil-drilling platform. We present real-time modeling results that show that all tasks are schedulable. We performed stochastic analysis of the distribution of tasks execution time as a function of the number of system interfaces. We report on the variability of task execution times for the expected system configurations. In addition, we have executed a system library for an important task inside the performance model simulator. We report on the measured algorithm convergence as a function of the number of vessel thrusters. We have also studied the system architecture adaptability by comparing the documented system architecture and the implemented source code. We report on the adaptability findings and the recommendations we were able to provide to the system's architect. Finally, we have developed models of hardware and software reliability. We report on hardware reliability results based on the evaluation of the system architecture. As a topic for future work, we report on an approach that we recommend be applied to evaluate the system under study software reliability.

In this paper, we report on our experience with the application of validated models to assess performance, reliability, and adaptability of a complex mission critical system that is being developed to dynamically monitor and control the position of an oil-drilling platform. We present real-time modeling results that show that all tasks are schedulable. We performed stochastic analysis of the distribution of tasks execution time as a function of the number of system interfaces. We report on the variability of task execution times for the expected system configurations. In addition, we have executed a system library for an important task inside the performance model simulator. We report on the measured algorithm convergence as a function of the number of vessel thrusters. We have also studied the system architecture adaptability by comparing the documented system architecture and the implemented source code. We report on the adaptability findings and the recommendations we were able to provide to the system's architect. Finally, we have developed models of hardware and software reliability. We report on hardware reliability results based on the evaluation of the system architecture. As a topic for future work, we report on an approach that we recommend be applied to evaluate the system under study software reliability.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:16 March 2011
Deposited On:10 Feb 2012 12:29
Last Modified:05 Apr 2016 15:25
Publisher:Association for Computing Machinery
Series Name:Proceedings of the second joint WOSP/SIPEW international conference on Performance engineering
ISBN:978-1-4503-0519-8
Publisher DOI:10.1145/1958746.1958757
Related URLs:http://icpe2011.ipd.kit.edu/
Other Identification Number:merlin-id:3896
Permanent URL: http://doi.org/10.5167/uzh-55874

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