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Conference on Information Systems Management

Special Sessions in the Information Systems and Technologies Track of the Conference on Computer Science and Information Systems

ISM 2020, FedCSIS-IST 2020: Information Technology for Management: Towards Business Excellence pp 25–44Cite as

Data Quality Model-Based Testing of Information Systems: Two-Level Testing of the Insurance System

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 413)

Abstract

In order to develop reliable software, its operating must be verified for all possible cases of use. This can be achieved, at least partly, by means of a model-based testing (MBT), by establishing tests that check all conditions covered by the model. This paper presents a Data Quality Model-based Testing (DQMBT) using the data quality model (DQ-model) as a testing model. The DQ-model contains definitions and conditions for data objects to consider the data object as correct. The proposed testing approach allows complete testing of the conformity of the data to be entered and the data already stored in the database. The data to be entered shall be verified by means of predefined pre-conditions, while post-conditions verify the allocation of the data into the database. The paper demonstrates the application of the proposed solution to the insurance system, concluding that it is able to identify previously undetected defects even after years of operating the IS. Therefore, the proposed solution can be considered as an effective complementary testing approach capable to improve the quality of an information system significantly. In the context of this study, we also address the MBT approach and the main factors affecting its popularity and identify the most popular ways of classifying MBT approaches.

Keywords

  • Complete test set
  • Data quality model
  • Information system
  • Model-Based testing
  • Pre-condition
  • Post-condition

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Acknowledgements

This work has been supported by University of Latvia project AAP2016/B032 “Innovative information technologies”.

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Authors and Affiliations

  1. Faculty of Computing, University of Latvia, Riga, Latvia

    Anastasija Nikiforova, Janis Bicevskis, Zane Bicevska & Ivo Oditis

Authors
  1. Anastasija Nikiforova
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  2. Janis Bicevskis
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  3. Zane Bicevska
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  4. Ivo Oditis
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Corresponding author

Correspondence to Anastasija Nikiforova .

Editor information

Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

  2. University of Warsaw, Warsaw, Poland

    Witold Chmielarz

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Nikiforova, A., Bicevskis, J., Bicevska, Z., Oditis, I. (2021). Data Quality Model-Based Testing of Information Systems: Two-Level Testing of the Insurance System. In: Ziemba, E., Chmielarz, W. (eds) Information Technology for Management: Towards Business Excellence. ISM FedCSIS-IST 2020 2020. Lecture Notes in Business Information Processing, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-030-71846-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-71846-6_2

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