@InProceedings{BaleraSant:2016:ExCoTe,
               author = "Balera, Juliana Marino and Santiago J{\'u}nior, Valdivino 
                         Alexandre de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Um experimento controlado para teste combinatorial",
                 year = "2016",
         organization = "Workshop de Computa{\c{c}}{\~a}o Aplicada, 16. (WORCAP)",
             abstract = "Exhaustive execution of tests is impractical, this is a fact. 
                         Considering complex systems, such as software developed for space 
                         applications like satellite, stratospheric balloons and rockets, 
                         this fact is even more true where defects in software can cause 
                         disasters in which large financial loss, or damage to the 
                         environment occur. For this reason it is very important to have 
                         available methods/software testing techniques with great potential 
                         for the development of defects. One of the activities of the most 
                         studied software testing process is the generation/selection of 
                         test cases. However, select test cases that show a greater number 
                         of defects is complex, given the large number of entries that the 
                         software can process, and even because of the different 
                         characteristics of software products in various fields. 
                         Combinatorial designs come calling attention of the software 
                         testing community to generate smaller test cases sets (lower cost 
                         to run) and efficient (ability to find defects in software). Such 
                         techniques have been effective to detect faults due to the 
                         interaction of various input variables. Therefore, this proposed 
                         masters dissertation aims to present a new algorithm, called 
                         T-Tuple Reallocation (TTR) to generate instances of software 
                         testing via combinatorial designs specifically via the Mixed-Level 
                         Covering Arrays (MCAs). A literature review is presented with the 
                         main algorithms to generate combinatorial designs, pointing out 
                         their strengths and weaknesses that led to the creation of the 
                         TTR. A preliminary comparison between the TTR and four other 
                         algorithms/tools found in the literature is presented, where the 
                         TTR achieved a better performance considering the size of the set 
                         of test cases generated.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "25-26 out.",
           targetfile = "balera_experimento.pdf",
        urlaccessdate = "27 abr. 2024"
}