Test-Data Quality as a Success Factor for End-to-End Testing - An Approach to Formalisation and Evaluation

Yury Chernov

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-193-9, pages 95-101. DOI: 10.5220/0005971700950101


in Bibtex Style

@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 - Volume 1: DATA,},
year={2016},
pages={95-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005971700950101},
isbn={978-989-758-193-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: 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
AU - Chernov Y.
PY - 2016
SP - 95
EP - 101
DO - 10.5220/0005971700950101