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Modeling and Verifying Combinatorial Interactions to Test Data Intensive Systems: Experience at the Norwegian Customs Directorate.

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Název: Modeling and Verifying Combinatorial Interactions to Test Data Intensive Systems: Experience at the Norwegian Customs Directorate.
Autoři: Sen, Sagar, Marijan, Dusica, Ieva, Carlo, Grime, Astrid, Sander, Atle
Zdroj: IEEE Transactions on Reliability; Mar2017, Vol. 66 Issue 1, p3-16, 14p
Témata: DATA mining, ELECTRONIC government information, ACQUISITION of data, DATABASES, DATA modeling
Abstrakt: Data-intensive systems in e-governance collect and process data to ensure conformance to a set of business rules. Testers meticulously verify data in test databases, extracted from different steps of a live production stream , for correct application of business rules. We simplify the process by allowing testers to model a test domain on a relational database and automatically generate test cases representing data interactions satisfying combinatorial interaction coverage criteria. This paper also introduces test cases with self-referential interactions, which is a necessity in real-world databases. We verify these test cases using our human-in-the-loop tool, Depict. Depict, with expert assistance, generates complex SQL queries for test cases and produces a visual report of test case satisfaction. We apply the approach to two scenarios: 1) simplify and optimize a periodic archiving operation and 2) verify fault codes within the testing environment of the Custom directorate's TVINN system. [ABSTRACT FROM AUTHOR]
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Abstrakt:Data-intensive systems in e-governance collect and process data to ensure conformance to a set of business rules. Testers meticulously verify data in test databases, extracted from different steps of a live production stream , for correct application of business rules. We simplify the process by allowing testers to model a test domain on a relational database and automatically generate test cases representing data interactions satisfying combinatorial interaction coverage criteria. This paper also introduces test cases with self-referential interactions, which is a necessity in real-world databases. We verify these test cases using our human-in-the-loop tool, <sc>Depict</sc>. <sc>Depict</sc>, with expert assistance, generates complex SQL queries for test cases and produces a visual report of test case satisfaction. We apply the approach to two scenarios: 1) simplify and optimize a periodic archiving operation and 2) verify fault codes within the testing environment of the Custom directorate's TVINN system. [ABSTRACT FROM AUTHOR]
ISSN:00189529
DOI:10.1109/TR.2016.2618121