Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.15439/2019F168 | 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) |
Keywords | Field | DocType |
data quality,runtime verification,business process,domain specific languages | Domain-specific language,Data mining,Data quality,Business process,Software engineering,Computer science,Correctness,Runtime verification | Conference |
ISSN | ISBN | Citations |
2325-0348 | 978-1-5386-8005-6 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janis Bicevskis | 1 | 37 | 14.47 |
| Zane Bicevska | 2 | 0 | 0.34 |
| Anastasija Nikiforova | 3 | 1 | 2.44 |
| Ivo Oditis | 4 | 0 | 0.34 |