Skip to main content
SpringerLink
Log in
Book cover

International Conference on Business Process Management

BPM 2022: Business Process Management Forum pp 38–54Cite as

A Data-Centric Approach to Design Resilient-Aware Process Models in BPMN

  • Conference paper
  • First Online:

  • 681 Accesses

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 458))

Abstract

The widespread diffusion of Internet-of-Things (IoT) technologies is prompting organizations to rethink their business processes (BPs) towards incorporating the data collected from IoT devices directly into BP models for improved effectiveness and timely decision making. Nonetheless, IoT devices are prone to failure due to their limitations in terms of computational power and energy autonomy, leading to compromise the availability and quality of the collected data, with the risk to prevent the correct execution of the entire BP. To mitigate this issue, resilience is a feature that any data-aware BP should support at design-time, by focusing on the role of available - as an alternative to unreliable - data as a resource for increasing BP robustness to failures. In this paper, we formalize an approach for designing and evaluating resilient-aware BP models in BPMN (Business Process Modeling and Notation) through a maturity model that takes into account their degree of awareness through levels of resilience, which can be computed using the provided formalization. In addition, we show how to extend the metamodel of BPMN 2.0 to address the proposed resiliency levels, and we investigate the feasibility of the approach through a user evaluation.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
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

Learn about institutional subscriptions

References

  1. van der Aalst, W.M.P., Pesic, M., Schonenberg, H.: Declarative workflows: balancing between flexibility and support. Comput. Sci. R &D 23(2), 99–113 (2009)

    Google Scholar 

  2. Antunes, P., Mourão, H.: Resilient business process management: framework and services. Expert Syst. Appl. 38(2), 1241–1254 (2011)

    Article  Google Scholar 

  3. Caralli, R.A., Allen, J.H., White, D.W.: CERT Resilience Management Model: A Maturity Model for Managing Operational Resilience. Addison-Wesley, Reading (2010)

    Google Scholar 

  4. Casati, F., Ceri, S., Pernici, B., Pozzi, G.: Workflow evolution. In: Thalheim, B. (ed.) ER 1996. LNCS, vol. 1157, pp. 438–455. Springer, Heidelberg (1996). https://doi.org/10.1007/BFb0019939

    Chapter  Google Scholar 

  5. Dijkman, R.M., Dumas, M., Ouyang, C.: Semantics and analysis of business process models in BPMN. Inf. Software Technol. 50(12), 1281–1294 (2008)

    Article  Google Scholar 

  6. Hollnagel, E., Woods, D.D., Leveson, N.: Resilience Engineering: Concepts and Precepts. Ashgate Publishing Ltd., Aldershot (2007)

    Google Scholar 

  7. Jain, P., Pasman, H.J., Waldram, S., Pistikopoulos, E., Mannan, M.S.: Process Resilience Analysis Framework (PRAF): a systems approach for improved risk and safety management. J. Loss Prev. Proc. Ind. 53, 61–73 (2018)

    Article  Google Scholar 

  8. Janiesch, C., et al.: The Internet of Things Meets Business Process Management: A Manifesto. IEEE Syst. Man Cybern. Mag. 6(4), 34–44 (2020)

    Article  Google Scholar 

  9. Marrella, A., Mecella, M., Sardina, S.: Supporting adaptiveness of cyber-physical processes through action-based formalisms. AI Commun. 31(1), 47–74 (2018)

    Article  MathSciNet  Google Scholar 

  10. Moore, S.J., Nugent, C.D., Zhang, S., Cleland, I.: IoT reliability: a review leading to 5 key research directions. CCF Trans. Pervasive Comput. Interact. 2(3), 147–163 (2020)

    Article  Google Scholar 

  11. Müller, G., Koslowski, T.G., Accorsi, R.: Resilience - A New Research Field in Business Information Systems? In: Abramowicz, W. (ed.) BIS 2013. LNBIP, vol. 160, pp. 3–14. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41687-3_2

    Chapter  Google Scholar 

  12. OMG: Business Process Modeling and Notation, Version 2.0.2, January 2014. http://www.omg.org/spec/BPMN/2.0.2/

  13. Plebani, P., Marrella, A., Mecella, M., Mizmizi, M., Pernici, B.: Multi-party business process resilience by-design: a data-centric perspective. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 110–124. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_8

    Chapter  Google Scholar 

  14. Reichert, M., Weber, B.: Enabling Flexibility in Process-Aware Information Systems - Challenges, Methods, Technologies. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30409-5

    Book  MATH  Google Scholar 

  15. La Rosa, M., van der Aalst, W.M.P., Dumas, M., Milani, F.: Business process variability modeling: a survey. ACM Comput. Surv. (CSUR) 50(1), 1–45 (2017)

    Google Scholar 

  16. Sauro, J., Lewis, J.R.: Quantifying the User Experience: Practical Statistics for User Research. Morgan Kaufmann, Cambridge (2016)

    Google Scholar 

  17. Steinau, S., et al.: DALEC: a framework for the systematic evaluation of data-centric approaches to process management software. SOSYM 18(4), 2679–2716 (2019)

    Google Scholar 

  18. Stroppi, L.J.R., Chiotti, O., Villarreal, P.D.: Extending BPMN 2.0: method and tool support. In: Dijkman, R., Hofstetter, J., Koehler, J. (eds.) BPMN 2011. LNBIP, vol. 95, pp. 59–73. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25160-3_5

    Chapter  Google Scholar 

  19. Sun, S.X., Zhao, J.L., Jr., Nunamaker, J.F., Sheng, O.R.L.: Formulating the Data-Flow Perspective for Business Process Management. Inf. Syst. Res. 17(4), 374–391 (2006)

    Article  Google Scholar 

  20. Suriadi, S., Weiß, B., et al.: Current Research in Risk-aware Business Process Management: Overview, Comparison, and Gap Analysis. CAIS 34(1), 52 (2014)

    Google Scholar 

  21. Valderas, P., Torres, V., Serral, E.: Modelling and executing IoT-enhanced business processes through BPMN and microservices. J. Syst. Softw. 184, 111139 (2022)

    Article  Google Scholar 

  22. Zahoransky, R.M., Brenig, C., Koslowski, T.: Towards a Process-Centered Resilience Framework. In: ARES (2015)

    Google Scholar 

  23. Zahoransky, R.M., Koslowski, T., Accorsi, R.: Toward resilience assessment in business process architectures. In: Bondavalli, A., Ceccarelli, A., Ortmeier, F. (eds.) SAFECOMP 2014. LNCS, vol. 8696, pp. 360–370. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10557-4_39

    Chapter  Google Scholar 

Download references

Acknowledgments

This work has been supported by the H2020 project DataCloud and the Sapienza grant BPbots.

Author information

Authors and Affiliations

  1. Sapienza Università di Roma, Rome, Italy

    Simone Agostinelli, Francesca De Luzi, Umberto di Canito, Jacopo Ferraro, Andrea Marrella & Massimo Mecella

Authors
  1. Simone Agostinelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francesca De Luzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Umberto di Canito
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jacopo Ferraro
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Andrea Marrella
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Massimo Mecella
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andrea Marrella .

Editor information

Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Claudio Di Ciccio

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. Universidad de Sevilla, Seville, Spain

    Adela del Río Ortega

  4. Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Agostinelli, S., De Luzi, F., di Canito, U., Ferraro, J., Marrella, A., Mecella, M. (2022). A Data-Centric Approach to Design Resilient-Aware Process Models in BPMN. In: Di Ciccio, C., Dijkman, R., del Río Ortega, A., Rinderle-Ma, S. (eds) Business Process Management Forum. BPM 2022. Lecture Notes in Business Information Processing, vol 458. Springer, Cham. https://doi.org/10.1007/978-3-031-16171-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-16171-1_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16170-4

  • Online ISBN: 978-3-031-16171-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation