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Mirror, Mirror on the Wall, Can I Count on You at All? Exploring Data Inaccuracy in Business Processes

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2010, EMMSAD 2010)

Abstract

Information systems in general and process aware information systems in particular support the execution of business processes. This support is based on the assumption that the information system truly reflects the state of the domain where the process takes place. Based on this assumption, humans do not need to directly “sense” the state of affairs. Rather, decisions are made based on the state as reflected in the information system. This paper explores the situation where this assumption does not hold, namely, the situation of data inaccuracy. In particular, it formalizes data inaccuracy and addresses three questions: (a) how is data inaccuracy manifested in a process? (b) what are the expected results of data inaccuracy? (c) how can robustness to data inaccuracy be increased? The understanding gained with respect to these questions should form a basis for designing processes to be more robust, avoiding problems due to data inaccuracy.

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References

  1. Agmon, N., Ahituv, N.: Assessing data reliability in an information system. Journal of Management Information Systems 4(2), 34–41 (1987)

    Article  Google Scholar 

  2. Bunge, M.: Treatise on Basic Philosophy: Ontology I: The Furniture of the World, vol. 3. Reidel, Boston (1977)

    Google Scholar 

  3. Bunge, M.: Treatise on Basic Philosophy: Ontology II: A World of Systems, Boston, vol. 4. Reidel (1979)

    Google Scholar 

  4. Cohn, D., Hull, R.: Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes. IEEE Data Eng. Bull. 32(3), 3–9 (2009)

    Google Scholar 

  5. Künzle, V., Reichert, M.: Towards Object-aware Process Management Systems: Issues, Challenges, Benefits. In: Proc. BPMDS 2009, pp. 197–210 (2009)

    Google Scholar 

  6. Müller, D., Reichert, M., Herbst, J.: A New Paradigm for the Enactment and Dynamic Adaptation of Data-Driven Process Structures. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 48–63. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Russell, N., ter Hofstede, A.H.M., Edmond, D., van der Aalst, W.M.P.: Workflow Data Patterns:Identification, Representation and Tool Support. In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 353–368. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Russell, N., van der Aalst, W.M.P., ter Hofstede, A.H.M.: Workflow exception patterns. In: Dubois, E., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 288–302. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Sadiq, S.W., Orlowska, M.E., Sadiq, W., Foulger, C.: Data Flow and Validation in Workflow Modelling. In: Fifteenth Australasian Database Conference (ADC), Dunedin, New Zealand. CRPIT, vol. 27, pp. 207–214 (2004)

    Google Scholar 

  10. Sidorova, N., Stahl, C., Trcka, N.: Workflow Soundness Revisited: Checking Correctness in the Presence of Data While Staying Conceptual. In: Proceedings of CAiSE (to appear, 2010)

    Google Scholar 

  11. Soffer, P., Wand, Y.: Goal-driven Analysis of Process Model Validity. In: Persson, A., Stirna, J. (eds.) CAiSE 2004. LNCS, vol. 3084, pp. 521–535. Springer, Heidelberg (2004)

    Google Scholar 

  12. Soffer, P., Wand, Y.: Goal-driven multi-process analysis. Journal of the Association of Information Systems 8(3), 175–203 (2007)

    Google Scholar 

  13. Soffer, P., Wand, Y., Kaner, M.: Semantic analysis of flow patterns in business process modeling. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 400–407. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  14. Soffer, P., Kaner, M., Wand, Y.: Assigning Ontology-Based Semantics to Process Models: the Case of Petri Nets. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 16–31. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Sun, S.X., Zhao, J.L., Nunamaker, J.F., Liu Sheng, O.R.: Formulating the Data Flow Perspective for Business Process Management. Information Systems Research 17(4), 374–391 (2006)

    Article  Google Scholar 

  16. Trcka., N., van der Aalst, W.M.P., Sidorova, N.: Data-Flow Anti-Patterns: Discovering Dataflow 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 

  17. Vanderfeesten, I., Reijers, H.A., van der Aalst, W.M.P.: Product-Based Workflow Support: Dynamic Workflow Execution. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 571–574. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

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

    Article  Google Scholar 

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Soffer, P. (2010). Mirror, Mirror on the Wall, Can I Count on You at All? Exploring Data Inaccuracy in Business Processes. In: Bider, I., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2010 2010. Lecture Notes in Business Information Processing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13051-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-13051-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13050-2

  • Online ISBN: 978-3-642-13051-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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