Towards data quality runtime verification

• Autorzy: Bicevskis, Janis , Bicevska, Zane , Nikiforova, Anastasija , Oditis, Ivo
• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

PL

jakość danych; czas wykonania; proces biznesowy; język dziedzinowy

EN

data quality; runtime verification; business process; domain specific languages

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 639--643
• Opis fizyczny: Bibliogr. 13 poz., rys.

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

• 1. El Hadji Bassirou Toure, I. Fall, A. Bah, M. S. Camara, Megamodel-based Management of Dynamic Tool Integration in Complex Software Systems. In FedCSIS Position Papers, 2016, pp. 211-218, http://dx.doi.org/10.15439/2016F585.
• 2. I. Oditis, J. Bicevskis, Asynchronous Runtime Verification of Business Processes: Proof of Concept. International Journal of Simulation-Systems, Science & Technology, 2015, 16(6), 1-11, http://dx.doi.org/10.5013/IJSSST.a.16.06.06.
• 3. J. Bicevskis, Z. Bicevska, A. Nikiforova, I. Oditis, An Approach to Data Quality Evaluation. In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), IEEE, 2018, pp. 196-201, http://dx.doi.org/10.1109/SNAMS.2018.8554915.
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• 7. A. Nikiforova, J. Bicevskis, An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, 274-281, 2019, http://dx.doi.org/10.5220/0007838602740281.
• 8. A. Nikiforova, Analysis of Open Health Data Quality Using Data Object-Driven Approach to Data Quality Evaluation: Insights from a Latvian Context. In IADIS International Conference e-Health 2019, Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2019, IADIS
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• 12. E. Ziemba, T. Papaj, D. Descours, Assessing the quality of e-government portals-the Polish experience. In 2014 Federated Conference on Computer Science and Information Systems, IEEE, 2014, pp. 1259-1267, http://dx.doi.org/10.15439/2014F121.
• 13. A. Karabegovic, M. Ponjavic, Geoportal as decision support system with spatial data warehouse. In 2012 Federated Conference on Computer Science and Information Systems (FedCSIS), IEEE, 2012, pp. 915-918, http://dx.doi.org/10.13140/RG.2.2.26385.68963.

Uwagi

1. Track 4: Information Systems and Technology

2. Technical Session: 14th 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 (2020).

Identyfikatory

DOI

10.15439/2019F168