Skip to main content
SpringerLink
Log in

Modeling and Reasoning about Information Quality Requirements in Business Processes

  • Conference paper
  • First Online:
Enterprise, Business-Process and Information Systems Modeling (BPMDS 2015, EMMSAD 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 214))

Abstract

Information Quality (IQ) is particularly important for the successful and efficient execution of any Business Process (BP). Despite this, most existing BP approaches either ignore IQ needs, or they deal with them as mere technical issues, without considering the social and organizational aspects that underlie such needs. In this paper, we propose a goal-oriented approach to capture IQ requirements (needs) and map these requirements into workflow net (WFA-net) that is a formal language for modeling and analyzing IQ requirements in BP. We illustrate our approach with an example concerning a stock market system.

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

Access this chapter

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 39.99
Price excludes VAT (USA)
  • Available as 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aguilar-Saven, R.S.: Business process modelling: Review and framework. International Journal of Production Economics 90(2), 129–149 (2004)

    Article  Google Scholar 

  2. Trčka, N., van der Aalst, W.M.P., Sidorova, N.: Data-flow anti-patterns: discovering data-flow errors in workflows. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 425–439. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Sadiq, S., Orlowska, M., Sadiq, W., Foulger, C.: Data flow and validation in workflow modelling. In: Proceedings of the 15th Australasian database conference, vol. 27, pp. 207–214. Australian Computer Society, Inc. (2004)

    Google Scholar 

  4. Sidorova, N., Stahl, C., Trčka, N.: Workflow soundness revisited: checking correctness in the presence of data while staying conceptual. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 530–544. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Redman, T.: Improve data quality for competitive advantage. Sloan Management Review 36, 99–99 (1995)

    Google Scholar 

  6. Hamming, R.: Error detecting and error correcting codes. Bell System Technical Journal 29(2), 147–160 (1950)

    Article  Google Scholar 

  7. Yu, E., Mylopoulos, J.: From er to armodelling strategic actor relationships for business process reengineering. In: Entity-Relationship Approach ER 1994 Business Modelling and Re-Engineering, pp. 548–565 (1994)

    Google Scholar 

  8. Emery, F., Trist, E.: Socio-technical systems. management sciences, models and techniques. churchman cw et al. (1960)

    Google Scholar 

  9. Fisher, C., Kingma, B.: Criticality of data quality as exemplified in two disasters. Information & Management 39(2), 109–116 (2001)

    Article  Google Scholar 

  10. Sommerville, I., Cliff, D., Calinescu, R., Keen, J., Kelly, T., Kwiatkowska, M., Mcdermid, J., Paige, R.: Large-scale complex it systems. Communications of the ACM 55(7), 71–77 (2012)

    Article  Google Scholar 

  11. Koliadis, G., Vranesevic, A., Bhuiyan, M., Krishna, A., Ghose, A.: Combined approach for supporting the business process model lifecycle. In: PACIS, p. 76. Citeseer (2006)

    Google Scholar 

  12. Dardenne, A., Van Lamsweerde, A., Fickas, S.: Goal-directed requirements acquisition. Science of Computer Programming 20(1–2), 3–50 (1993)

    Article  Google Scholar 

  13. Yu, E.S.K.: Modelling strategic relationships for process reengineering. PhD thesis, University of Toronto (1995)

    Google Scholar 

  14. Mouratidis, H., Giorgini, P.: Secure tropos: A security-oriented extension of the tropos methodology. International Journal of Software Engineering and Knowledge Engineering 17(2), 285–309 (2007)

    Article  Google Scholar 

  15. Gharib, M., Giorgini, P.: Modeling and reasoning about information quality requirements. In: Fricker, S.A., Schneider, K. (eds.) REFSQ 2015. LNCS, vol. 9013, pp. 49–64. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  16. Pipino, L.L., Lee, Y.W., Wang, R.Y.: Data quality assessment. Communications of the ACM 45(4), 211–218 (2002)

    Article  Google Scholar 

  17. Bovee, M., Srivastava, R.P., Mak, B.: A conceptual framework and belief-function approach to assessing overall information quality. International Journal of Intelligent Systems 18(1), 51–74 (2003)

    Article  Google Scholar 

  18. Wand, Y., Wang, R.: Anchoring data quality dimensions in ontological foundations. Communications of the ACM 39(11), 86–95 (1996)

    Article  Google Scholar 

  19. Murata, T.: Petri nets: Properties, analysis and applications. Proceedings of the IEEE 77(4), 541–580 (1989)

    Article  Google Scholar 

  20. van der Aalst, W.M.: The application of petri nets to workflow management. Journal of Circuits, Systems, and Computers 8(01), 21–66 (1998)

    Article  Google Scholar 

  21. Kirilenko, A., Kyle, A.S., Samadi, M., Tuzun, T.: The flash crash: The impact of high frequency trading on an electronic market. Manuscript, U of Maryland (2011)

    Google Scholar 

  22. Mishkin, F.S.: Policy remedies for conflicts of interest in the financial system. In: Macroeconomics, Monetary Policy and Financial Stability Conference. Citeseer (2003)

    Google Scholar 

  23. Gharib, M., Giorgini, P.: Analysing information integrity requirements in safety critical systems. In: The 3rd International Workshop on Information Systems Security Engineering WISSE 2013 (2013)

    Google Scholar 

  24. Abiteboul, S., Hull, R., Vianu, V.: Foundations of databases. Citeseer (1995)

    Google Scholar 

  25. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28(1), 75–105 (2004)

    Google Scholar 

  26. Gharib, M., Giorgini, P.: Detecting conflicts in information quality requirements: the may 6, 2010 flash crash. Technical report, Università degli studi di Trento (2014)

    Google Scholar 

  27. Trcka, N., van der Aalst, W., Sidorova, N.: Analyzing control-flow and data-flow in workflow processes in a unified way. Computer Science Report (08–31) (2008)

    Google Scholar 

  28. Deutsch, A., Hull, R., Patrizi, F., Vianu, V.: Automatic verification of data-centric business processes. In: Proceedings of the 12th International Conference on Database Theory, pp. 252–267. ACM (2009)

    Google Scholar 

  29. Cysneiros, L.M., Yu, E.: Addressing agent autonomy in business process management-with case studies on the patient discharge process. In: Proc. 2004 IRMA Conference (2004)

    Google Scholar 

  30. Lapouchnian, A., Yu, Y., Mylopoulos, J.: Requirements-driven design and configuration management of business processes. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 246–261. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  31. Wang, R.: A product perspective on total data quality management. Communications of the ACM 41(2), 58–65 (1998)

    Article  Google Scholar 

  32. Ballou, D., Wang, R., Pazer, H., Tayi, G.K.: Modeling information manufacturing systems to determine information product quality. Management Science 44(4), 462–484 (1998)

    Article  Google Scholar 

  33. Shankaranarayanan, G., Wang, R., Ziad, M.: Ip-map: representing the manufacture of an information product. In: Proceedings of the 2000 Conference on Information Quality, pp. 1–16 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DISI, University of Trento, 38123, Povo, Trento, Italy

    Mohamad Gharib & Paolo Giorgini

Authors
  1. Mohamad Gharib
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paolo Giorgini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Mohamad Gharib or Paolo Giorgini .

Editor information

Editors and Affiliations

  1. Luxembourg Institute of Science & Technology, Luxembourg, Luxembourg

    Khaled Gaaloul

  2. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

  3. Université Paris 1 Panthéon – Sorbonne, Paris, France

    Selmin Nurcan

  4. Lusofona University, Lisbon, Portugal

    Sérgio Guerreiro

  5. Luxembourg Institute of Science & Technology, Luxembourg, Luxembourg

    Qin Ma

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Gharib, M., Giorgini, P. (2015). Modeling and Reasoning about Information Quality Requirements in Business Processes. In: Gaaloul, K., Schmidt, R., Nurcan, S., Guerreiro, S., Ma, Q. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2015 2015. Lecture Notes in Business Information Processing, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-19237-6_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19237-6_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19236-9

  • Online ISBN: 978-3-319-19237-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation