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The Drupal Framework: a Case Study to Evaluate Variability Testing Techniques

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Autor: Sánchez Jerez, Ana Belén
Segura Rueda, Sergio
Ruiz Cortés, Antonio
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2014
Publicado en: 8Th International Workshop on Variability Modelling of Software-Intensive Systems, 2014, Nice, France
Tipo de documento: Ponencia
Resumen: Variability testing techniques search for effective but manageable test suites that lead to the rapid detection of faults in systems with high variability. Evaluating the effectiveness of these techniques in real settings is a must but challenging due to the lack of variability-intensive systems with available code, automated tests and fault reports. in this paper, we propose using the Drupal framework as a case study to evaluate variability testing techniques. First, we represent the framework variability as a feature model. Then, we report on extensive data extracted from the Drupal git repository and the Drupal issue tracking system. Among other results, we identified 378 faults in single features and 11 faults triggered by the interaction between two of the features of Drupal v7.23, reported during a one-year period. These data may give a new insight into the distribution of faults in variability-intensive systems and the fault propensity of features. To show the feasibility of ou...
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