Skip to main content

Constraint-Based Context Model for Business Process Integration in a Higher Education Domain

  • Conference paper
  • First Online:
Book cover Modeling and Using Context (CONTEXT 2017)

Abstract

The Business Process integration focuses on consolidation of process models in order to changes propagation. The aim of this paper is to propose a constraint-based contextual approach for business process integration. The context model description is through contextual situations represented by a constraint set as well as an inference mechanism. In order to validate the proposed model a case study regarding an admission process of postgraduate careers is perform. The main conclusion of this research is that the contextual variables used in the model directly depend on the process’s execution domain and in consequence affect the possible updates on process models.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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

References

  1. Morrison, E.D., Menzies, A., Koliadis, G., Ghose, A.K.: Business process integration: method and analysis. In: Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling-Volume 96, pp. 29–38. Australian Computer Society, Inc., January 2009

    Google Scholar 

  2. La Rosa, M., Dumas, M., Uba, R., Dijkman, R.: Business process model merging: an approach to business process consolidation. ACM Trans. Softw. Eng. Methodol. (TOSEM) 22(2), Article No. 11 (2013)

    Google Scholar 

  3. Gerth, C., Küster, J.M., Engels, G.: Language-independent change management of process models. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 152–166. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04425-0_12

    Chapter  Google Scholar 

  4. Kumar, A., Yao, W.: Design and management of flexible process variants using templates and rules. Comput. Ind. 63(2), 112–130 (2012)

    Article  Google Scholar 

  5. UNAL-Universidad Nacional de Colombia. Manual del Sistema Integrado de Gestión (2008). http://www.simegebogota.unal.edu.co/. Accessed November 2016

  6. Weidlich, M., Polyvyanyy, A., Desai, N., Mendling, J., Weske, M.: Process compliance analysis based on behavioural profiles. Inf. Syst. (IS) 36(7), 1009–1025 (2011). Elsevier B.V.

    Article  MATH  Google Scholar 

  7. Schubert, P., Legner, C.: B2B integration in global supply chains: an identification of technical integration scenarios. J. Strateg. Inf. Syst. (2011)

    Google Scholar 

  8. Mendling, J., Strembeck, M., Recker, J.: Factors of process model comprehension – findings from a series of experiments. Decis. Support Syst. 53(1), 195–206 (2012)

    Article  Google Scholar 

  9. Sebu, L., Ciocarlie, H.: Merging business processes for a common workflow in an organizational collaborative scenario. In: 2015 19th International Conference on System Theory, Control and Computing (ICSTCC), pp. 134–139 (2015)

    Google Scholar 

  10. La Rosa, M., Dumas, M., Uba, R., Dijkman, R.: Business process model merging: an approach to business process consolidation. ACM Trans. Softw. Eng. Methodol. (2012)

    Google Scholar 

  11. Weidlich, M., Mendling, J., Weske, M.: Propagating changes between aligned process models. J. Syst. Softw. (JSS) (2012)

    Google Scholar 

  12. Prezel, V., Gaševic, D., Milanovic, M.: Representational analysis of business process and business rule languages. In: 1st International Workshop on Business Models, Business Rules and Ontologies (BuRO 2010), September 2010

    Google Scholar 

  13. Milanovic, M., Gaševic, D., Rocha, L.: Modeling flexible business processes with business rule patterns. In: The Fifteenth IEEE International EDOC Conference (EDOC 2011), Helsinki, Finland, 29 August–2 September 2011

    Google Scholar 

  14. Saidani, O., Nurcan, S.: Context-awareness for adequate business process modelling. In: RCIS 2009, pp. 177–186 (2009)

    Google Scholar 

  15. Ploesser, K., Recker, J., Rosemann, M.: Challenges in the context-aware management of business processes: a multiple case study. In: ECIS 2011 (2011)

    Google Scholar 

  16. Bucchiarone, A., Mezzina, C., Pistore, M., Raik, H., Valetto, G.: Collective adaptation in process-based systems. In: SASO 2014, pp. 151–156 (2014)

    Google Scholar 

  17. Lassoued, Y., Bouzguenda, L., Mahmoud, T.: Context-aware business process versions management. Int. J. e-Collab. (IJeC) 12(3), 7–33 (2016)

    Google Scholar 

  18. Berente, N., Vandenbosch, B., Aubert, B.: Information flows and business process integration. Bus. Process Manag. J. 15(1), 119–141 (2009)

    Article  Google Scholar 

  19. Carvalho, J., Santoro, F., Revoredo, K.: A method to infer the need to update situations in business process adaptation. Comput. Ind. 71, 128–143 (2015). ISSN 0166-3615

    Article  Google Scholar 

  20. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jorge E. Giraldo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Giraldo, J.E., Ovalle, D.A., Santoro, F.M. (2017). Constraint-Based Context Model for Business Process Integration in a Higher Education Domain. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-57837-8_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57836-1

  • Online ISBN: 978-3-319-57837-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics