[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Towards the Pattern-Based Transformation of SBVR Models to Association-Oriented Models

  • Conference paper
  • First Online:
Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11683))

Included in the following conference series:

Abstract

The following research paper deals with the issue of automatic modeling of information systems models based on requirements. The requirements of information systems can be defined in different manner, e.g. in natural language or some formal, or semi-formal language. We have shown the assumptions for the approach, which employs patterns defined in SBVR metamodel and results with AOM models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 67.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 84.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Boley, H., Tabet, S., Wagner, G.: Design rationale of RuleML: a markup language for semantic web rules. In: Proceedings of the First International Conference on Semantic Web Working, SWWS 2001, pp. 381–401. CEUR-WS.org, Aachen, Germany (2001). http://dl.acm.org/citation.cfm?id=2956602.2956628

  2. Chen, P.P.S.: The entity-relationship model - toward a unified view of data. ACM Trans. Database Syst. 1(1), 9–36 (1976). https://doi.org/10.1145/320434.320440. http://doi.acm.org/10.1145/320434.320440

    Article  MathSciNet  Google Scholar 

  3. Codd, E.F.: A relational model of data for large shared data banks. Commun. ACM 13(6), 377–387 (1970)

    Article  Google Scholar 

  4. Jodłowiec, M.: Complex relationships modeling in association-oriented database metamodel. In: Nguyen, N.T., Hoang, D.H., Hong, T.-P., Pham, H., Trawiński, B. (eds.) ACIIDS 2018. LNCS (LNAI), vol. 10752, pp. 46–56. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75420-8_5

    Chapter  Google Scholar 

  5. Krótkiewicz, M.: Association-oriented database model - n-ary associations. Int. J. Softw. Eng. Knowl. Eng. 27(2), 281–320 (2017). https://doi.org/10.1142/S0218194017500103

    Article  Google Scholar 

  6. Krotkiewicz, M.: Formal definition and modelling language of association-oriented database metamodel (AssoBase). Vietnam J. Comput. Sci. (2018). https://doi.org/10.1142/s2196888819500052

    Article  Google Scholar 

  7. Krótkiewicz, M.: A novel inheritance mechanism for modeling knowledge representation systems. Comput. Sci. Inf. Syst. 15(1), 51–78 (2018). http://doiserbia.nb.rs/Article.aspx?id=1820-02141700046K

    Article  Google Scholar 

  8. Krótkiewicz, M., Jodłowiec, M.: Modeling autoreferential relationships in association-oriented database metamodel. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds.) ISAT 2017. AISC, vol. 656, pp. 49–62. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67229-8_5

    Chapter  Google Scholar 

  9. Krótkiewicz, M., Jodłowiec, M., Wojtkiewicz, K.: Semantic networks modeling with operand-operator structures in association-oriented metamodel. In: Nguyen, N.T., Papadopoulos, G.A., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10448, pp. 24–33. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67074-4_3

    Chapter  Google Scholar 

  10. Linehan, M.H.: SBVR use cases. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2008. LNCS, vol. 5321, pp. 182–196. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88808-6_20

    Chapter  Google Scholar 

  11. Mickeviciute, E., Butleris, R., Gudas, S., Karciauskas, E.: Transforming BPMN 2.0 Business Process Model into SBVR Business Vocabulary and Rules, pp. 360–371 (2017)

    Google Scholar 

  12. Nemuraite, L., Skersys, T.: VETIS tool for editing and transforming SBVR business vocabularies and business rules into UML&OCL models. In: 16th International Conference on Information and Software Technologies, pp. 377–384. Kaunas University of Technology, Kaunas (2010)

    Google Scholar 

  13. Njonko, P.B.F., El Abed, W.: From natural language business requirements to executable models via SBVR. In: 2012 International Conference on Systems and Informatics, ICSAI 2012 (ICSAI), pp. 2453–2457 (2012). https://doi.org/10.1109/ICSAI.2012.6223550

  14. OMG: Object Management Group, Semantics Of Business Vocabulary And Rules 1.4 (2014). http://www.omg.org/spec/SBVR/1.4/

  15. OMG: Object Management Group, Unified Modeling Language (UML) superstructure version 2.5 (2015). http://www.omg.org/spec/UML/2.5/

  16. Raj, A., Prabhakar, T.V., Hendryx, S.: Transformation of SBVR business design to UML models. In: Business, pp. 29–38 (2008). https://doi.org/10.1145/1342211.1342221, http://portal.acm.org/citation.cfm?doid=1342211.1342221

  17. Skersys, T., Danenas, P., Butleris, R.: Extracting SBVR business vocabularies and business rules from UML use case diagrams. J. Syst. Softw. 141, 111–130 (2018). https://doi.org/10.1016/j.jss.2018.03.061

    Article  Google Scholar 

  18. Skersys, T., Tutkute, L., Butleris, R.: The enrichment of BPMN business process model with SBVR business vocabulary and rules. J. Comput. Inf. Technol. 20(3), 143–150 (2012). https://doi.org/10.2498/cit.1002090

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Jodłowiec & Marcin Pietranik

Authors
  1. Marcin Jodłowiec
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcin Pietranik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marcin Jodłowiec .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l’Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l’Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l’Adour, Pau, France

    Philippe Aniorté

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

    Bogdan Trawiński

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jodłowiec, M., Pietranik, M. (2019). Towards the Pattern-Based Transformation of SBVR Models to Association-Oriented Models. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-28377-3_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28376-6

  • Online ISBN: 978-3-030-28377-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation