Multi-Objective Test Case Prioritization in Highly Configurable Systems: A Case Study





Publicado en

Actas de las XXII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2017)


CC BY 4.0


Test case prioritization schedules test cases for execution in an order that attempts to accelerate the detection of faults. The order of test cases is determined by prioritization objectives such as covering code or critical components as rapidly as possible. The importance of this technique has been recognized in the context of Highly-Configurable Systems (HCSs), where the potentially huge number of configurations makes testing extremely challenging. However, current approaches for test case prioritization in HCSs suffer from two main limitations. First, the prioritization is usually driven by a single objective which neglects the potential benefits of combining multiple criteria to guide the detection of faults. Second, instead of using industry-strength case studies, evaluations are conducted using synthetic data, which provides no information about the effectiveness of different prioritization objectives. In this paper, we address both limitations by studying 63 combinations of up to three prioritization objectives in accelerating the detection of faults in the Drupal framework. Results show that non-functional properties such as the number of changes in the features are more effective than functional metrics extracted from the configuration model. Results also suggest that multi-objective prioritization typically results in faster fault detection than mono-objective prioritization. Indicios de calidad de la revista: Journal of Systems and Software (Elsevier) ISSN: 0164-1212 Factor de impacto 2015: 1,424 Factor de impacto a 5 años: 1,767 Indexada en dos categorías: Computer Science / Theory & Methods: 31/105 (Q2) Computer Science / Software Engineering: 24/106 (Q1) Otros datos: CiteScore: 2.93 Source Normalized Impact per Paper (SNIP): 2.415 SCImago Journal Rank (SJR): 0.897 Indicios de calidad del propio paper: Número de Citas según Google Scholar: 3 Número de lecturas según Research Gate: 73


Acerca de Parejo Maestre, José Antonio

Palabras clave

Optimización Multi-objetivo, Priorización De Pruebas, Sistemas Altamente Configurables
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