Title
A preliminary empirical assessment of similarity for combinatorial interaction testing of software product lines.
Abstract
Extensive work on Search-Based Software Testing for Software Product Lines has been published in the last few years. Salient among them is the use of similarity as a surrogate metric for t-wise coverage whenever higher strengths are needed or whenever the size of the test suites is infeasible because of technological or budget limitations. Though promising, this metric has not been assessed with real fault data. In this paper, we address this limitation by using Drupal, a widely used open source web content management system, as an industry-strength case study for which both variability information and fault data have been recently made available. Our preliminary assessment corroborates some of the previous findings but also raises issues on some assumptions and claims made. We hope our work encourages further empirical evaluations of Combinatorial Interaction Testing approaches for Software Product Lines.
Year
DOI
Venue
2016
10.1145/2897010.2897011
SBST@ICSE
Keywords
DocType
ISBN
Software Product Line,Combinatorial Interaction Testing,Product Similarity,Documented Faults,Empirical,Drupal
Conference
978-1-5090-2205-2
Citations 
PageRank 
References 
5
0.37
17
Authors
4
Name
Order
Citations
PageRank
Stefan Fischer11156.19
Roberto E. Lopez-Herrejon264547.36
Rudolf Ramler330436.20
Alexander Egyed42434178.98