MiTS: a new approach of tabu search for constructing mixed covering arrays

  • Authors:
  • Loreto Gonzalez-Hernandez;Jose Torres-Jimenez

  • Affiliations:
  • Information Technology Laboratory, CINVESTAV-Tamaulipas, Cd. Victoria, Tamps., Mexico;Information Technology Laboratory, CINVESTAV-Tamaulipas, Cd. Victoria, Tamps., Mexico

  • Venue:
  • MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
  • Year:
  • 2010

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Abstract

Software systems have been increasingly used by our society, so a failure in them can lead to large losses. To reduce the failures of a software it is necessary to carry out the testing process appropriately. The combinatorial testing helps in the testing process by providing structures with a test set of small size, like Mixed Covering Arrays (MCAs). However, the problem of constructing an optimal test set is an NP-complete problem leading to the development of non exhaustive approaches to solve it. This paper proposes a new approach of Tabu Search (TS) called MiTS (that stands for Mixed Tabu Search) which focuses on constructing MCAs. The approach is based on the use of a mixture of neighborhood functions and a fine tuning process to improve the performance of the TS. Experimental evidence shows a poor performance when a single neighborhood function is used. In the other side, the TS (using a mixture of neighborhood functions) is competitive in the construction of MCAs over a known benchmark reported in the literature.