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

  • Authors:

  • Daniel Dominguez Gouvêa;Cyro de A. Assis D. Muniz;Gilson A. Pinto;Alberto Avritzer;Rosa Maria Meri Leão;Edmundo de Souza e Silva;Morganna Carmem Diniz;Luca Berardinelli;Julius C.B. Leite;Daniel Mossß;Yuanfang Cai;Mike Dalton;Lucia Kapova;Anne Koziolek

  • Affiliations:

  • Chemtech a Siemens Company;Chemtech a Siemens Company;Chemtech a Siemens Company;Siemens Corporate Research;Federal University of Rio de Janeiro;Federal University of Rio de Janeiro;Federal University of the State of Rio de Janeiro;University of L' Aquila;Universidade Federal Fluminense;University of Pittsburgh;Drexel University;Drexel University;Karlsruhe Institute of Technology;Karlsruhe Institute of Technology

  • Venue:
  • Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
  • Year:
  • 2011

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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.