Resumen de Many-Objective Test Suite Generation for Software Product Lines
Rob Hierons, Miqing Li, Xiaohui Liu Liu, José Antonio Parejo Maestre 
, Sergio Segura Rueda , Xin Yao
A Software Product Line (SPL) is a set of products built from a number of features, the set of valid products being dened by a feature model. Typically, it does not make sense to test all products dened by an SPL and one instead chooses a set of products to test (test selection) and, ideally, derives a good order in which to test them (test prioritisation). Since one cannot know in advance which products will reveal faults, test selection and prioritisation are normally based on objective functions that are known to relate to likely effectiveness or cost. This article introduces a new technique, the grid-based evolution strategy (GrES), which considers several objective functions that assess a selection or prioritisation and aims to optimise on all of these. The problem is thus a many-objective optimisation problem. We use a new approach, in which all of the objective functions are considered but one (pairwise coverage) is seen as the most important. We also derive a novel evolution strategy based on domain knowledge. The results of the evalua- tion, on randomly generated and realistic feature models, were promising, with GrES outperforming previously proposed techniques and a range of many-objective optimisation algorithms.
