Skip to main content

Run-Time Auditing for Business Processes Data Using Constraints

  • Conference paper
Business Process Management Workshops (BPM 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 66))

Included in the following conference series:

  • 2375 Accesses

Abstract

Business processes involve data that can be modified or updated by various activities. These data must satisfy the business rules associated to the process. These data are normally stored in a relational database, and hence the database has to be analyzed to determine whether the business rules can be satisfied.

This paper presents a framework including a run-time auditing layer where the correctness of a database can be analyzed at different checkpoints of a business process according to the data flow. It provides an early detection of incorrect action on stored data. Furthermore, in order to manage the current business rules, the use of the constraint programming paradigm is proposed and the enlargement of the Constraint Database Management Systems to support business rules.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business Process Management: A Survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1–12. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  2. Chesani, F., Mello, P., Montali, M., Riguzzi, F., Sebastianis, M., Storari, S.: Checking compliance of execution traces to business rules. In: Business Process Management Workshops, pp. 134–145 (2008)

    Google Scholar 

  3. zur Muehlen, M., Indulska, M.: Modeling languages for business processes and business rules: A representational analysis. Inf. Syst. 35(4), 379–390 (2010)

    Article  Google Scholar 

  4. Meng, J.: Achieving dynamic inter-organizational workflow management by integrating business processes, e-services, events, and rules. PhD thesis, Gainesville, FL, USA, Chair-Su, Stanley Y. and Chair-Helal, Abdelsalam (2002)

    Google Scholar 

  5. McDermid, D.C.: Integrated Business Process Management: Using State-Based Business Rules to Communicate between Disparate Stakeholders. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 58–71. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Weber, B., Sadiq, S.W., Reichert, M.: Beyond rigidity - dynamic process lifecycle support. Computer Science - R&D 23(2), 47–65 (2009)

    Google Scholar 

  7. Dechter, R.: Constraint Processing. The Morgan Kaufmann Series in Artificial Intelligence. Morgan Kaufmann, San Francisco (2003)

    MATH  Google Scholar 

  8. Heumann, J.: Introduction to business modeling using the unified modeling language (uml). In: Rational Edge (2001)

    Google Scholar 

  9. Kuper, G.M., Kanellakis, P.C., Revesz, P.Z.: Constraint query languages. In: Symposium on Principles of Database Systems, pp. 299–313 (1990)

    Google Scholar 

  10. Chisholm, M.: How to Build a Business Rules Engine: Extending Application Functionality through Metadata Engineering. The Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann Publishers Inc., San Francisco (2003)

    Google Scholar 

  11. López, M.T.G., Ceballos, R., Gasca, R.M., Valle, C.D.: Developing a labelled object-relational constraint database architecture for the projection operator. Data Knowl. Eng. 68(1), 146–172 (2009)

    Article  Google Scholar 

  12. Ma, H.: Process-aware information systems: Bridging people and software through process technology: Book reviews. J. Am. Soc. Inf. Sci. Technol. 58(3), 455–456 (2007)

    Article  Google Scholar 

  13. Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer-Verlag New York, Inc., Secaucus (2007)

    Google Scholar 

  14. Walzer, K., Breddin, T., Groch, M.: Relative temporal constraints in the rete algorithm for complex event detection. In: DEBS 2008: Proceedings of the Second International Conference on Distributed Event-based Systems, pp. 147–155. ACM, New York (2008)

    Chapter  Google Scholar 

  15. Beeri, C., Eyal, A., Milo, T., Pilberg, A.: Monitoring business processes with queries. In: VLDB 2007: Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 603–614. VLDB Endowment (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gómez-López, M.T., Gasca, R.M. (2011). Run-Time Auditing for Business Processes Data Using Constraints. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20511-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20510-1

  • Online ISBN: 978-3-642-20511-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics