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In so-called constraint-based testing, symbolic execution is a common technique used as a part of the process to generate test data for imperative programs. Databases are ubiquitous in software and testing of programs manipulating databases is thus essential to enhance the reliability of software. This work proposes and evaluates experimentally a symbolic execution algorithm for constraint-based testing of database programs. First, we describe SimpleDB, a formal language which o ers a minimal and well-de ned syntax and semantics, to model common interaction scenarios between programs and databases. Secondly, we detail the proposed algorithm for symbolic execution of SimpleDB models. This algorithm considers a SimpleDB program as a sequence of operations over a set of relational variables, modeling both the database tables and the program variables. By integrating this relational model of the program with classical static symbolic execution, the algorithm can generate a set of path constraints for any nite path to test in the control ow graph of the program. Solutions of these constraints are test inputs for the program, including an initial content for the database. When the program is executed with respect to these inputs, it is guaranteed to follow the path with respect to which the constraints were generated. Finally, the algorithm is evaluated experimentally using representative SimpleDB models.
|Publication status||Published - 6 Dec 2012|