@inproceedings{11f13135adc14129a22bb99a75ad8c4e,
title = "Towards data quality runtime verification",
abstract = "This paper discusses data quality checking during business process execution by using runtime verification. While runtime verification verifies the correctness of business process execution, data quality checks assure that particular process did not negatively impact the stored data. Both, runtime verification and data quality checks run in parallel with the base processes affecting them insignificantly. The proposed idea allows verifying (a) if the process was ended correctly as well as (b) whether the results of the correct process did not negatively impact the stored data in result of its modification caused by the specific process. The desired result will be achieved by use of domain specific languages that would describe runtime verification and data quality checks at every stage of business process execution.",
keywords = "Business process, Data quality, Domain specific languages, Runtime verification",
author = "Janis Bicevskis and Zane Bicevska and Anastasija Nikiforova and Ivo Oditis",
note = "Publisher Copyright: {\textcopyright} 2019 Polish Information Processing Society - as since.; 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 ; Conference date: 01-09-2019 Through 04-09-2019",
year = "2019",
month = sep,
doi = "10.15439/2019F168",
language = "English",
series = "Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "639--643",
editor = "Maria Ganzha and Leszek Maciaszek and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019",
address = "United States",
}