Full predicate coverage for testing SQL database queries

In the field of database applications a considerable part of the business logic is implemented using a semi-declarative language: the Structured Query Language (SQL). Because of the different semantics of SQL compared with other procedural languages, the conventional coverage criteria for testing are not directly applicable. This paper presents a criterion specifically tailored for SQL queries (SQLFpc). It is based on Masking Modified Condition Decision Coverage (MCDC) or Full Predicate Coverage and takes into account a wide range of the syntax and semantics of SQL, including selection, joining, grouping, aggregations, subqueries, case expressions and null values. The criterion assesses the coverage of the test data in relation to the query that is executed and it is expressed as a set of rules that are automatically generated and efficiently evaluated against a test database. The use of the criterion is illustrated in a case study, which includes complex queries. Copyright © 2010 John Wiley & Sons, Ltd.

This paper presents the SQLFpc coverage criterion specifically tailored for SQL queries. The criterion is based on MCDC and measures the coverage of the test data in relation to the query that is executed. It is expressed as a set of coverage rules that is automatically generated and efficiently evaluated against a test database. A set of tools to automate the evaluation of the coverage is available at . Copyright © 2010 John Wiley & Sons, Ltd.

This article was published online on [15 January 2010]. An error was subsequently identified. This notice is included in the online and print versions to indicate that both have been corrected [18 March 2010].