DQMBT: data quality model-based testing approach for information systems

The proposed data object-driven approach to data quality evaluation proposed in the scope of my doctoral thesis served as an input for the DQMBT – data quality model-based testing approach for information systems developed and applied for real-life projects where the e-scooter system was a central object thereby demonstrating the proposed approach in the context of IoT or IoV (Internet of Vehicles). This example, however, has served as an input to the current study on car-sharing services in Latvia, more specifically on optimization processes.

The goal of this project was to propose a data quality model-based testing methodology aimed at improving testing methodology of information systems (IS). The solution supposes creation of a description of the data to be processed by IS and the data quality requirements used for the development of the tests, followed by performing an automated test of the system on the generated tests verifying the correctness of data to be entered and stored in the database. The generation of tests for all possible data quality conditions creates a complete set of tests that verify the operation of the IS under all possible data quality conditions.

These studies have been carried out as a part of ERDF-funded projects, where the University of Latvia works with the industry, thereby facilitating the exchange of knowledge and bringing science closer to real life. Moreover, two of the published conference articles were nominated as the best conference papers (FedCSIS – Conference on Computer Science and Intelligence Systems (Advances in Information Systems and Technologies) and IoTSMS – International Conference on Internet of Things: Systems, Management and Security), one of which was recognized the best. Although DQMBT project has already been completed, a car-sharing study was just launched, in which the candidate participates as a volunteer and actively works as a researcher in the final stage of a concurrency analysis-related study.

The list of articles (both, journal articles and conference papers) is presented below.

I have also delivered some talks on this topic, including: