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Data Quality Model-based Testing of Information Systems

  • DIVI Grupa

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

2 Atsauces (Scopus)

Kopsavilkums

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 DQmodel 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.

OriģinālvalodaAngļu
Publikācijas avota nosaukumsProceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020
RedaktoriMaria Ganzha, Leszek Maciaszek, Leszek Maciaszek, Marcin Paprzycki
Publikācijas vietaWarsaw
IzdevējsPolskie Towarzystwo Informatyczne
Lapas595-602
Lapu skaits8
ISBN (Elektroniski)9788395541674
ISBN (Drukātā versija)9788395541674
DOIs
Publikācijas statussPublicēts - sept. 2020

Publikāciju sērijas

NosaukumsProceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020

OECD Zinātnes nozare

  • 1.2 Datorzinātne un informātika

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