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Process for Assessment Data Quality in Complex Service Oriented Architectures Using Design Science Approach

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Design Science: Perspectives from Europe (EDSS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 388))

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Abstract

Service oriented composition is a prospective approach, which enables flexible and loose composition of applications whereas data is an integral part of service. Our research examines various perspectives of data quality in the flexible service oriented environment. In this paper we present a process that would assess data within service oriented environment based on business rules. By analysing service data against the rules we are able to identify problems in service composition and execution. Moreover taking into account the Quality of Service (QoS) we can provide an approximate location of the error. The process is developed following design science, and in this paper we underline the literature review perspective.

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References

  1. Bell, E., Michael, M.: Service-oriented architecture: a planning and implementation guide for business and technology. Wiley, Hoboken (2006)

    Google Scholar 

  2. Krafzig, D., Banke, K.: Enterprise SOA, service-oriented architecture best practices. Prentice Hall, Upper Saddle River (2004)

    Google Scholar 

  3. O’Brien, L., Merson, P., Bass, L.: Quality Attributes for Service-Oriented Architectures. In: SDSOA 2007 Proceedings of the International Workshop on Systems Development in SOA Environments, Washington, DC, USA, p. 3 (2007)

    Google Scholar 

  4. Papazoglou, M., van den Heuvel, W.-J.: Service oriented architectures: approaches, technologies, pp. 389–415 (2007)

    Google Scholar 

  5. Austvold, E.: Service-Oriented Architectures: Survey on Deployment and Plans for the Future. ARM Research Report (2006)

    Google Scholar 

  6. Brne, B., Kling, J., McCarty, D.: The value of applying the data quality analysis pattern in SOA. IBM (April 17, 2008)

    Google Scholar 

  7. Petkov, P.: Data oriented challenges of service architectures a data quality perspective. In: CompSysTech, New York, NY, pp. 163–170 (2012)

    Google Scholar 

  8. Kazhamiakin, R., Metzger, A., Pistore, M.: Towards Correctness Assurance in Adaptive Service-Based Applications. In: Mähönen, P., Pohl, K., Priol, T. (eds.) ServiceWave 2008. LNCS, vol. 5377, pp. 25–37. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Fishman, N.: Viral Data in SOA: An Enterprise Pandemic. IBM Press, New York City (2009)

    Google Scholar 

  10. Hevner, A.R., March, S.T., Park, J.: Design Research in Information Systems Research. MIS Quarterly (2004)

    Google Scholar 

  11. Ostrowski, L., Helfert, M.: Reference Model in Design Science Research to Gather and Model Information. In: 18th Americas Conference on Information Systems, Seattle (2012)

    Google Scholar 

  12. Goldkuhl, G.: Design Theories in Information Systems – A Need for Multi-Grounding. Journal of Information Technology and Application 6(2), 59–72 (2004)

    Google Scholar 

  13. Benbasat, I., Zmud, R.W.: Empirical Research in Information Systems-The Practice of Relevance. MIS Quarterly 23(1), 3–36 (1999)

    Article  Google Scholar 

  14. Peffers, K., Tuunanen, T., Rothenberger, M.: A Design Science Research Methodology. Journal of Management Information Systems 24(3), 45–77 (2007)

    Article  Google Scholar 

  15. Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly 26(2), 13–23 (2002)

    Google Scholar 

  16. Hart, C.: Doing a Literature Review. Releasing the Social Science Imagination. Sage Publications, London (1999)

    Google Scholar 

  17. OMG: Business Process Modelling Notation, http://www.omg.org/spec/BPMN/2.0/ (accessed March 2012)

  18. Mizoguchi, R.: Tutorial on Ontological Engineering. New Generation Computing 21(4), 363–384 (2003)

    Article  Google Scholar 

  19. Chinosi, M., Trombetta, A.: BPMN: An introduction to the standard. Computer Standards & Interfaces 34(1), 123–134 (2012)

    Article  Google Scholar 

  20. Gibbs, A.: Focus Groups. Social Research Update, 19 (1997)

    Google Scholar 

  21. Noblit, G.W., Hare, R.D.: Meta-Ethnography: Synthesizing Qualitative Studies. Sage Publications (1988)

    Google Scholar 

  22. Atkins, S., Lewin, S., Smith, H., Engel, M., Fretheim, A., Volmink, J.: Conducting a Meta-Ethnogrpahy of Qualitative Literature: Lessons Learnt. BMC Medical Research Methodology 8(21) (2008)

    Google Scholar 

  23. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75–106 (2004)

    Google Scholar 

  24. Offermann, P., Levina, O., Schönherr, M., Bub, U.: Outline of a Design Science Research Process. In: Design Science Research in Information Systems and Technology, Malvern (2009)

    Google Scholar 

  25. Gewirtz, P.: Oh I Know It When I See It 105. Yale Law Journal (1996)

    Google Scholar 

  26. Redman, T.: Data Quality: The field guide. Digital Press, Woburn (2001)

    Google Scholar 

  27. English, L.: Improving Data Warehouse and Business Information Quality: Methods of reducing Costs and Increasing Profits. John Wiley & Sons, Inc., New York (1999)

    Google Scholar 

  28. Henriksson, R.M., Kauppinen, T.: An Ontology-Driven Approach for Spatial Data Quality Evaluation. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 34 (2007)

    Google Scholar 

  29. Frank, A.U.: Data Quality Ontology: An Ontology for Imperfect Knowledge. In: Winter, S., Duckham, M., Kulik, L., Kuipers, B. (eds.) COSIT 2007. LNCS, vol. 4736, pp. 406–420. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

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

    Article  Google Scholar 

  31. Vasilecas, O., Normantas, K.: Deriving business rules from the models of existing information systems. In: 12th International Conference on Computer Systems and Technologies, New York, NY, pp. 95–100 (2011)

    Google Scholar 

  32. Egan, M., Petticrew, M., Ogilvie, D., Hamilton, V.: The Health and Social Impacts of Opening New Road. Protocol for Systematic Review. University of Glasgow, Glasgow (2001)

    Google Scholar 

  33. Oracle, I.: Understanding Data Quality Management. In: Oracle® Warehouse Builder User’s Guide. Oracle Inc. (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland

    Łukasz Ostrowski, Plamen Petkov & Markus Helfert

Authors
  1. Łukasz Ostrowski
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  2. Plamen Petkov
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  3. Markus Helfert
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Editor information

Editors and Affiliations

  1. School of Computing, Dublin City University, Dublin, Ireland

    Markus Helfert

  2. Maynooth Innovation Value Institute, School of Business, National University of Ireland, Maynooth, Ireland

    Brian Donnellan

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Ostrowski, Ł., Petkov, P., Helfert, M. (2013). Process for Assessment Data Quality in Complex Service Oriented Architectures Using Design Science Approach. In: Helfert, M., Donnellan, B. (eds) Design Science: Perspectives from Europe. EDSS 2012. Communications in Computer and Information Science, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-319-04090-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-04090-5_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04089-9

  • Online ISBN: 978-3-319-04090-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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