Advertisement

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

  • Jorge E. GiraldoEmail author
  • Demetrio Arturo Ovalle
  • Flavia Maria Santoro
Conference paper
Part of the Lecture Notes in Computer Science book series

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.

Keywords

Business process integration Context model Contextual situations Constraints Academic management 

References

  1. 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 2009Google Scholar
  2. 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. 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 CrossRefGoogle Scholar
  4. 4.
    Kumar, A., Yao, W.: Design and management of flexible process variants using templates and rules. Comput. Ind. 63(2), 112–130 (2012)CrossRefGoogle Scholar
  5. 5.
    UNAL-Universidad Nacional de Colombia. Manual del Sistema Integrado de Gestión (2008). http://www.simegebogota.unal.edu.co/. Accessed November 2016
  6. 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.CrossRefzbMATHGoogle Scholar
  7. 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. 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)CrossRefGoogle Scholar
  9. 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. 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. 11.
    Weidlich, M., Mendling, J., Weske, M.: Propagating changes between aligned process models. J. Syst. Softw. (JSS) (2012)Google Scholar
  12. 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 2010Google Scholar
  13. 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 2011Google Scholar
  14. 14.
    Saidani, O., Nurcan, S.: Context-awareness for adequate business process modelling. In: RCIS 2009, pp. 177–186 (2009)Google Scholar
  15. 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. 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. 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. 18.
    Berente, N., Vandenbosch, B., Aubert, B.: Information flows and business process integration. Bus. Process Manag. J. 15(1), 119–141 (2009)CrossRefGoogle Scholar
  19. 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 0166-3615CrossRefGoogle Scholar
  20. 20.
    van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jorge E. Giraldo
    • 1
    • 2
    Email author
  • Demetrio Arturo Ovalle
    • 1
  • Flavia Maria Santoro
    • 3
  1. 1.Facultad de MinasUniversidad Nacional de ColombiaMedellínColombia
  2. 2.Politécnico Colombiano Jaime Isaza CadavidMedellínColombia
  3. 3.Universidad Federal del Estado de Rio de JaneiroRio de JaneiroBrazil

Personalised recommendations