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Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach

Opened Access Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach

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Autor: Segura Rueda, Sergio
Hierons, Robert M.
Benavides Cuevas, David Felipe
Ruiz Cortés, Antonio
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2010
Publicado en: ICST 2010: Third International Conference on Software Testing, Verification and Validation (2010), p 35-44
ISBN/ISSN: 978-1-4244-6435-7
Tipo de documento: Ponencia
Resumen: A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic involving a number of analysis operations, algorithms, paradigms and tools. Implementing these operations is far from trivial and easily leads to errors and defects in analysis solutions. Current testing methods in this context mainly rely on the ability of the tester to decide whether the output of an analysis is correct. However, this is acknowledged to be time-consuming, error-prone and in most cases infeasible due to the combinatorial complexity of the analyses. In this paper, we present a set of relations (so-called metamorphic relations) between input FMs and their set of products and a test data generator relying on them. Given an FM and its known set of products, a set of neighbour FMs together with their corresponding set of products are automatically generated and used for testing diffe...
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Cita: Segura Rueda, S., Hierons, R.M., Benavides Cuevas, D.F. y Ruiz Cortés, A. (2010). Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach. En ICST 2010: Third International Conference on Software Testing, Verification and Validation (35-44), Paris, Francia: IEEE Computer Society.
Tamaño: 256.5Kb
Formato: PDF

URI: http://hdl.handle.net/11441/60614

DOI: 10.1109/ICST.2010.20

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