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East European Conference on Advances in Databases and Information Systems

ADBIS 2015: Advances in Databases and Information Systems pp 334–347Cite as

TDQMed: Managing Collections of Complex Test Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9282))

Abstract

Medical devices like Medical Linear Accelerators (LINAC) are extensively tested before they are used in routine practice. Such systems typically interact with multiple other systems that produce complex input data, like medical images annotated with extensive metadata. Before such a system is actually used in a hospital with real patients it has to be tested with test data as realistic as possible. Suitable test data, however, cannot be easily generated. For this reason vendors typically accumulate large collections of patient files over the years to have them available for various test scenarios. In the TDQMed project we have developed methods and tools that enable a tester to estimate both the quality of a test data collection and its applicability for a particular test goal. A prototype system has been implemented to demonstrate the feasibility of measuring specific test data related quality criteria like coverage of test space and closeness to reality. An evaluation with professional testers indicates that the overall approach is promising.

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Notes

  1. 1.

    Digital Imaging and Communications in Medicine [9, 10].

  2. 2.

    DICOM-RT is an extension suited for radio therapy [8].

  3. 3.

    Detailed information and results upon request.

References

  1. Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41(3), 1–52 (2009)

    Article  Google Scholar 

  2. Bendix, F., Kosara, R., Hauser, H.: Parallel sets: visual analysis of categorical data. In: IEEE Symposium on Information Visualization, INFOVIS 2005, pp. 133–140, No. 1. IEEE (2005)

    Google Scholar 

  3. Carreira-Perpiñán, M.: A review of dimension reduction techniques. Technical report, University of Sheffield, Sheffield (1997)

    Google Scholar 

  4. Chaudhuri, S., Dayal, U.: An overview of data warehousing and OLAP technology. ACM SIGMOD Rec. 26(1), 65–74 (1997)

    Article  Google Scholar 

  5. Deza, E., Deza, M.M.: Encyclopedia of Distances. Springer, Heidelberg (2009)

    Book  MATH  Google Scholar 

  6. Di Nardo, D., Alshahwan, N., Briand, L., Labiche, Y.: Coverage-based test case prioritisation: an industrial case study. In: 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation, March 2013

    Google Scholar 

  7. Juran, J.M.: Juran on Planning for Quality. Free Press, New York (1988)

    Google Scholar 

  8. Law, M.Y., Liu, B.: Informatics in radiology: DICOM-RT and its utilization in radiation therapy. Radiographics Rev. Publ. Radiol. Soc. North Am. Inc. 29(3), 655–667 (2011)

    Google Scholar 

  9. Mildenberger, P., Eichelberg, M., Martin, E.: Introduction to the DICOM standard. Eur. Radiol. 12(4), 920–927 (2002)

    Article  Google Scholar 

  10. Mustra, M., Delac, K., Grgic, M.: Overview of the DICOM standard. In: 50th International Symposium, ELMAR, pp. 10–12. IEEE, Zadar, September 2008

    Google Scholar 

  11. Ostrand, T.J., Balcer, M.J.: The category-partition method for specifying and generating functional tests. Commun. ACM 31(6), 676–686 (1988)

    Article  Google Scholar 

  12. Pipino, L.L., Lee, Y.W., Wang, R.Y.: Data quality assessment. Commun. ACM 45(4), 211–218 (2002)

    Article  Google Scholar 

  13. Redman, T.C.: Data Quality: The Field Guide, data manag edn. Digital Press, Newton (2001)

    Google Scholar 

  14. Sommerville, I.: Software Engineering. International Computer Science Series, 8th edn. Addison-Wesley, Reading (2007)

    MATH  Google Scholar 

  15. Stahl, H.: Clusteranalyse großer Objektmengen mit problemorientierten Distanzmaßen. Verlag Harri Deutsch, Thun, Frankfurt am Main, reihe wirtschaftswissenschaften edn. (1985)

    Google Scholar 

  16. Thomas, S.W., Hemmati, H., Hassan, A.E., Blostein, D.: Static test case prioritization using topic models. Empirical Softw. Eng. 19(1), 182–212 (2014)

    Article  Google Scholar 

  17. Wand, Y., Wang, R.Y.: Anchoring data quality dimensions in ontological foundations. Commun. ACM 39(11), 86–95 (1996)

    Article  Google Scholar 

  18. Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. J. Manage. Inf. Syst. 12(4), 5–34 (1996)

    Article  Google Scholar 

  19. Wang, R.Y., Ziad, M., Lee, Y.W.: Data Quality. Springer - Kluwer Academic, Boston (2002)

    MATH  Google Scholar 

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Acknowledgements

This project is supported by the German Federal Ministry of Education and Research (BMBF), project grant No. 01EX1013G.

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Authors and Affiliations

  1. Computer Science 6 (Data Management), Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany

    Johannes Held & Richard Lenz

Authors
  1. Johannes Held
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  2. Richard Lenz
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Correspondence to Johannes Held .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznán, Poland

    Morzy Tadeusz

  2. INRIA, Montpellier, France

    Patrick Valduriez

  3. Teleport 2, LIAS/ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

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Held, J., Lenz, R. (2015). TDQMed: Managing Collections of Complex Test Data. In: Tadeusz, M., Valduriez, P., Bellatreche, L. (eds) Advances in Databases and Information Systems. ADBIS 2015. Lecture Notes in Computer Science(), vol 9282. Springer, Cham. https://doi.org/10.1007/978-3-319-23135-8_23

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  • DOI: https://doi.org/10.1007/978-3-319-23135-8_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23134-1

  • Online ISBN: 978-3-319-23135-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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