@InCollection{BaleraSant:2015:AlCrMi,
               author = "Balera, Juliana Marino and Santiago J{\'u}nior, Valdivino 
                         Alexandre de",
                title = "T-tuple reallocation: an algorithm to create mixed-level covering 
                         arrays to support software test case generation",
            booktitle = "Computational Science and its Applications ICCSA 2015",
            publisher = "Springer",
                 year = "2015",
               editor = "Park, J. and Raza, S. M. and Thorat, P. and Kim, D. S. and Choo, 
                         H.",
                pages = "503--517",
             keywords = "Algorithms.",
             abstract = "A fact that is known both by researchers and by industry 
                         professionals is that exhaustive software testing is impractical. 
                         Therefore, one of the most studied activities of software testing 
                         process is the generation/selection of test cases. However, 
                         selecting test cases that reveal the greatest number of defects 
                         within a software is a challenging task, due to the significantly 
                         high amount of entries that the system can receive, and even due 
                         to the different characteristics of software products in several 
                         application domains. This work presents a new algorithm, called 
                         T-Tuple Reallocation (TTR), to generate Mixed-Level Covering Array 
                         (MCA) which is one of the techniques of combinatorial designs that 
                         aims at test case generation. After studying various 
                         algorithms/techniques to generate combinatorial designs, starting 
                         with pairwise design, TTR was proposed aiming at decreasing the 
                         amount of test cases produced to test a software product. The new 
                         algorithm was able to create shorter sets of test cases in 
                         comparison with classical algorithms/tools proposed in the 
                         literature. Although TTR, in general, demanded longer time to 
                         generate the sets of test cases, this rise in time can be 
                         compensated by a smaller number of test cases so that less time is 
                         required for executing them. In the end, this may imply less time 
                         for accomplishing the testing process as a whole.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                  doi = "10.1007/978-3-319-21410-8_39",
                  url = "http://dx.doi.org/10.1007/978-3-319-21410-8_39",
                 isbn = "9783319214092",
                label = "lattes: 0112828204969930 1 BaleraSant:2015:AlCrMi",
             language = "pt",
           targetfile = "balera_t tuple.pdf",
                  url = "http://link.springer.com/10.1007/978-3-319-21410-8_39",
               volume = "9158",
        urlaccessdate = "10 maio 2024"
}