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Data mining meets system modelling

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Published:14 October 2018Publication History

ABSTRACT

Motivated by the system management concept of Integrated Modular Avionics (IMA), where the system is manually divided into a hierarchical structure of clusters of closely related system components, so called integration areas, we introduce a data mining-based approach to automatically calculate such integration areas or clusters. Thus, facilitating the modelling process by clustering software components with dense intercommunication, achieving in this way a reduced off-board intercommunication, once the software is mapped to the underlying hardware. Even though the idea emerged from the avionics domain, the proposed approach can be applied to other domains, e.g., automotive, as well.

References

  1. European Standard 4660. 2011. Aerospace series - Modular and Open Avionics Architectures, Parts 001--005.Google ScholarGoogle Scholar
  2. NATO Standardization Agreement. 2011. STANAG 4626: Parts I-VI.Google ScholarGoogle Scholar
  3. A. Aleti, B. Buhnova, L. Grunske, A. Koziolek, and I. Meedeniya. 2013. Software Architecture Optimization Methods: A Systematic Literature Review. IEEE Trans. Softw. Eng. (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Björn Annighöfer and Frank Thielecke. 2015. A Systems Architecting Framework For Optimal Distributed Integrated Modular Avionics Architectures. CEAS Aeronaut Journal (2015).Google ScholarGoogle Scholar
  5. ARINC 653-1. 2003. Avionics Application Software Standard Interface.Google ScholarGoogle Scholar
  6. Len Bass, Paul Clements, and Rick Kazman. 2003. Software Architecture in Practice. Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. B. Dougherty, D. C. Schmidt, J. White, R. Kegley, and J. Preston. 2011. Deployment Optimization for Embedded Flight Avionics Systems. CrossTalk (2011).Google ScholarGoogle Scholar
  8. Eder et al. 2017. Bringing DSE to Life: Exploring the Design Space of an Industrial Automotive Use Case. In 20th ACM/IEEE MODELS 2017. IEEE Computer Society.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Murtagh et al. 2011. Methods of Hierarchical Clustering. CoRR (2011).Google ScholarGoogle Scholar
  10. Özisikyilmaz et al. 2008. Efficient System Design Space Exploration Using Machine Learning Techniques. In Proceedings of the 45th DAC 2008. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Richard Garside and Jr. F. Joe Pighetti. 2007. Integrating Modular Avionics: A new role emerges. In IEEE/AIAA 26th. DASC 07.Google ScholarGoogle Scholar
  12. Jiawei Han and Micheline Kamber. 2000. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. V. Januzaj, S. Kugele, F. Biechele, and R. Mauersberger. 2012. A Configuration Approach for IMA Systems. In Software Engineering and Formal Methods (SEFM). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. V. Januzaj, R. Mauersberger, and F. Biechele. 2009. Performance Modelling for Avionics Systems. In Computer Aided Systems Theory - EUROCAST 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. RTCA DO-297. 2005. Integrated Modular Avionics (IMA) Development Guidance and Certification Considerations.Google ScholarGoogle Scholar

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  1. Data mining meets system modelling

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            cover image ACM Conferences
            MODELS '18: Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
            October 2018
            214 pages

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            Publication History

            • Published: 14 October 2018

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            MODELS '18 Paper Acceptance Rate19of29submissions,66%Overall Acceptance Rate118of382submissions,31%

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