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Author: Yury Chernov

Affiliation: SIX Group Services AG, Switzerland

Keyword(s): Data Quality, Test-Data, End-to-End Testing, Data Quality Factors, Test-Data Quality Modelling.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Information Quality

Abstract: Test-data quality can be decisive in the success of end-to-end testing of complicated multi-component and distributed systems. The proper metrics allows to compare different data sets and to evaluate their quality. The typical data quality factors should be, on the one hand, enriched with the dimensions specific for the testing, and, on the other hand many requirements to the production system data quality become not relevant. The proposed formal model is based to great extent on the common sense and practical experience, and not over-formalised. The implementation requires quite an effort, but once established can be very useful.

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Paper citation in several formats:
Chernov, Y. (2016). Test-Data Quality as a Success Factor for End-to-End Testing - An Approach to Formalisation and Evaluation. In Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-193-9; ISSN 2184-285X, SciTePress, pages 95-101. DOI: 10.5220/0005971700950101

@conference{data16,
author={Yury Chernov.},
title={Test-Data Quality as a Success Factor for End-to-End Testing - An Approach to Formalisation and Evaluation},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA},
year={2016},
pages={95-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005971700950101},
isbn={978-989-758-193-9},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - DATA
TI - Test-Data Quality as a Success Factor for End-to-End Testing - An Approach to Formalisation and Evaluation
SN - 978-989-758-193-9
IS - 2184-285X
AU - Chernov, Y.
PY - 2016
SP - 95
EP - 101
DO - 10.5220/0005971700950101
PB - SciTePress