Data Quality Model-based Testing of Information Systems

• Autorzy: Bicevskis Janis , Bicevska Zane , Nikiforova Anastasija , Oditis Ivo

Identyfikatory

DOI

10.15439/2020F25

• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a model-based testing approach by offering to use the data quality model (DQ-model) instead of the program's control flow graph as a testing model. The DQ-model contains definitions and conditions for data objects to consider the data object as correct. The study proposes to automatically generate a complete test set (CTS) using a DQ-model that allows all data quality conditions to be tested, resulting in a full coverage of DQ-model. In addition, the possibility to check the conformity of the data to be entered and already stored in the database is ensured. The proposed alternative approach changes the testing process: (1) CTS can be generated prior to software development; (2) CTS contains not only input data, but also database content required for complete testing of the system; (3) CTS generation from DQ-model provides values against which the system can be further tested. If the test results correspond to the values obtained during CTS generation, the system under test shall be considered to have been tested according to DQ-model. Otherwise, the user can verify the cause of the differences that may occur due incorrect software, as well as an inaccurate specification.

Słowa kluczowe

EN

test set; data quality model; information system; model-based testing; symbolic execution

PL

zestaw testowy; model jakości danych; system informacyjny; testowanie oparte na modelu; wykonanie

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 595--602
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Bicevskis Janis

• Faculty of Computing, University of Latvia, Latvia

autor

Bicevska Zane

• DIVI Grupa Ltd, Latvia

autor

Nikiforova Anastasija

• Faculty of Computing, University of Latvia, Latvia

autor

Oditis Ivo

• DIVI Grupa Ltd, Latvia

Bibliografia

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Uwagi

1. Track 4: Information Systems and Technology

2. Technical Session: 15th Conference on Information Systems Management

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).