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Meta-Modeling

Decomposition of Responsibilities

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Intelligent Information and Database Systems (ACIIDS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10752))

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Abstract

Contemporary known and applied approaches to defining graph modeling languages are standardized. One their characteristic feature, which is fixed and static structure defined at compile time, contains generalizations and thus is difficult to change. The paper presents the results of the process of decomposing responsibilities which may be identified in meta-models. Such decomposition may be done if a meta-model is defined from the compile-time independent meta-model node and meta-model arc classes joint into meta-model graph at run-time. The Context-Driven Meta-Modeling Framework (CDMM-F) was designed to support defining such meta-model. The process of the responsibilities migration from one place they were originally concentrated to the right place is shown in the paper as well and this migration results in mapping them to the right elements of the CDMM-F.

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References

  1. Bildhauer, D.: On the relationship between subsetting, redefinition and association specialization. In: Proceedings of the 9th Baltic Conference on Databases and Information Systems, Riga (2010)

    Google Scholar 

  2. Diaz, I., Llorens, J., Genova, G., Fuentes, J.: Generating domain representations using a relationship model. Inf. Syst. 30, 1–19 (2005)

    Article  Google Scholar 

  3. Génova, G., del Castillo, C.R., Llorens, J.: Mapping UML associations into Java code. J. Object Technol. 2(5), 135–162 (2003)

    Article  Google Scholar 

  4. Krótkiewicz, M.: A Novel inheritance mechanism for modeling knowledge representation systems. Computer Science and Information Systems (2017)

    Google Scholar 

  5. Krótkiewicz, M., Jodłowiec, M., Wojtkiewicz, K., Szwedziak, K.: Unified process management for service and manufacture system—material resources. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. AISC, vol. 403, pp. 681–690. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-26227-7_64

    Chapter  Google Scholar 

  6. Krótkiewicz, M.: Association-oriented database model - n-ary associations. Int. J. Softw. Eng. Knowl. Eng. 27(02), 281–320 (2017)

    Article  Google Scholar 

  7. Malhotra, R.: Meta-modeling framework: a new approach to manage meta-model base and modeling knowledge. Knowl.-Based Syst. 21, 6–37 (2008)

    Article  Google Scholar 

  8. Merson, P.: Data model as an architectural view. Technical note CMU/SEI-2009-TN-024, Software Engineering Institute, Carnegie Mellon University (2009)

    Google Scholar 

  9. Tan, H.B.K., Yang, Y., Bian, L.: Improving the use of multiplicity in UML association. J. Object Technol. 5(6), 127–132 (2006)

    Article  Google Scholar 

  10. Zabawa, P.: Context-driven meta-modeling framework (CDMM-F) - context role. Tech. Trans. 112(1–NP), 105–114 (2015)

    Google Scholar 

  11. Zabawa, P.: Context-Driven Meta-Modeling Framework (CDMM-F) - Internal Structure (2017, accepted for publication)

    Google Scholar 

  12. Zabawa, P.: Simulation of the CDMM-P paradigm-driven meta-modeling process. Tech. Trans. 4, 143–154 (2017)

    Google Scholar 

  13. Zabawa, P., Hnatkowska, B.: CDMM-F – domain languages framework. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds.) ISAT 2017. AISC, vol. 656, pp. 263–273. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67229-8_24

    Google Scholar 

  14. Zabawa, P., Stanuszek, M.: Characteristics of the context-driven meta-modeling paradigm (CDMM-P). Tech. Trans. 111(3), 123–134 (2014)

    Google Scholar 

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Authors and Affiliations

  1. Cracow University of Technology, Warszawska 24, 31-155, Krakow, Poland

    Piotr Zabawa

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  1. Piotr Zabawa
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Correspondence to Piotr Zabawa .

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Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Quang Binh University, Dong Hoi City, Vietnam

    Duong Hung Hoang

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Rutgers University, Piscataway, New Jersey, USA

    Hoang Pham

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Zabawa, P. (2018). Meta-Modeling. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10752. Springer, Cham. https://doi.org/10.1007/978-3-319-75420-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-75420-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75419-2

  • Online ISBN: 978-3-319-75420-8

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