@InProceedings{BarbosaSoReSiBaVi:2023:SyLiRe,
               author = "Barbosa, Gerson de Oliveira and Souza, E. and Rebelo, L. and 
                         Silva, M. and Balera, Juliana Marino and Vijaykumar, Nandamudi 
                         Lankalapalli",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and 
                         Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia de S{\~a}o Paulo (IFSP) and Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia de S{\~a}o Paulo 
                         (IFSP) and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "A Systematic Literature Review on Prioritizing Software Test Cases 
                         Using Markov Chains",
            booktitle = "Proceedings...",
                 year = "2023",
               editor = "Bonfanti, S. and Gargantini, A. and Salvaneschi, P.",
                pages = "179--182",
         organization = "International Conference on Testing Software and Systems, 35.",
            publisher = "Springer",
                 note = "{Lecture Notes in Computer Science}",
             abstract = "Software Testing is a costly activity since the size of the test 
                         case set tends to increase as the construction of the software 
                         evolves. Test Case Prioritization (TCP) can reduce the effort and 
                         cost of software testing. TCP is an activity where a subset of the 
                         existing test cases is selected in order to maximize the 
                         possibility of finding defects. On the other hand, Markov chains 
                         representing a system, when solved, can present the occupation 
                         time of each of their states. The idea is to use such information 
                         and associate priority to those test cases that consist of states 
                         with the highest probabilities. This journal-first paper provides 
                         an overview of a systematic survey of the state-of-the-art to 
                         identify and understand key initiatives for using Markov chains in 
                         TCP.",
  conference-location = "Bergamo",
      conference-year = "18-20 Sept. 2023",
                  doi = "10.1007/978-3-031-43240-8_20",
                  url = "http://dx.doi.org/10.1007/978-3-031-43240-8_20",
                 isbn = "978-303143239-2",
                 issn = "03029743",
             language = "en",
           targetfile = "barbosa_systematic.pdf",
               volume = "14131",
        urlaccessdate = "20 maio 2024"
}