Abstract
Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the objective function of a problem into its elementary components provides additional knowledge on the problem that can be exploited to create new search methods for the problem. We analyze the Test Suite Minimization problem in Regression Testing from the point of view of landscape theory. We find the elementary landscape decomposition of the problem and propose a practical application of such decomposition for the search.
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Chicano, F., Ferrer, J., Alba, E. (2011). Elementary Landscape Decomposition of the Test Suite Minimization Problem. In: Cohen, M.B., Ó Cinnéide, M. (eds) Search Based Software Engineering. SSBSE 2011. Lecture Notes in Computer Science, vol 6956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23716-4_7
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DOI: https://doi.org/10.1007/978-3-642-23716-4_7
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