2026-05-27T20:24:46Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/81912026-02-03T12:22:30Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
López-Herrejón, Roberto E.
author
Chicano-García, José-Francisco
author
Ferrer-Urbano, Francisco Javier
author
Egyed, Alexander
author
Alba-Torres, Enrique
2014-10-06T10:48:01Z
2014-10-06T10:48:01Z
2014-10-06
http://hdl.handle.net/10630/8191
Software Product Lines (SPLs) are families of related software products, which usually provide a large number of feature combinations, a fact that poses a unique set of challenges for software testing. Recently, many SPL testing approaches have been proposed, among them pair wise combinatorial techniques that aim at selecting products to test based on the pairs of feature combinations such products provide. These approaches regard SPL testing as an optimization problem where either coverage (maximize) or test suite size (minimize) are considered as the main optimization objective. Instead, we take a multi-objective view where the two objectives are equally important. In this exploratory paper we propose a zero-one mathematical linear program for solving the multi-objective problem and present an algorithm to compute the true Pareto front, hence an optimal solution, from the feature model of a SPL. The evaluation with 118 feature models revealed an interesting trade-off between reducing the number of constraints in the linear program and the runtime which opens up several venues for future research.
eng
Programación de ordenadores
Multi-objective Optimal Test Suite Computation for Software Product Line Pairwise Testing
conference output
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URL
https://riuma.uma.es/bitstreams/f652ee7f-55dd-4ad1-b7b0-a2a700ee1862/download
File
MD5
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application/pdf
icsm2013.pdf
URL
https://riuma.uma.es/bitstreams/4925ed46-a6b0-4108-9fd8-a3ba059725a5/download
File
MD5
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text/plain
icsm2013.pdf.txt