2014/01/21 by Roberto E. Lopez-Herrejon, Lopez-Herrejon, Roberto E., Javier Ferrer +9
Computer Science · #Advanced Software Engineering Methodologies #D.2.5 #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
paper · pdf · doi:10.48550/arxiv.1401.5367
openalex publication_date 2014/01/21 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
As Software Product Lines (SPLs) are becoming a more pervasive development practice, their effective testing is becoming a more important concern. In the past few years many SPL testing approaches have been proposed, among them, are those that support Combinatorial Interaction Testing (CIT) whose premise is to select a group of products where faults, due to feature interactions, are more likely to occur. Many CIT techniques for SPL testing have been put forward; however, no systematic and comprehensive comparison among them has been performed. To achieve such goal two items are important: a common benchmark of feature models, and an adequate comparison framework. In this research-in-progress paper, we propose 19 feature models as the base of a benchmark, which we apply to three different techniques in order to analyze the comparison framework proposed by Perrouin et al. We identify the shortcomings of this framework and elaborate alternatives for further study.