@InProceedings{SantosIwaSouFelVij:2021:ToSuUs,
               author = "Santos, Vin{\'{\i}}cius dos and Iwazaki, Anderson Yoshiaki and 
                         Souza, {\'E}rica Ferreira de and Felizardo, KATIA rOMERO and 
                         Vijaykumar, Nandamudi Lankalapalli",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade Tecnol{\'o}gica Federal 
                         do Paran{\'a} (UTFPR)} and {Universidade Tecnol{\'o}gica Federal 
                         do Paran{\'a} (UTFPR)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "CrowdSLR: A tool to support the use of crowdsourcing in systematic 
                         literature reviews",
            booktitle = "Proceedings...",
                 year = "2021",
                pages = "341--346",
         organization = "Symposium on Software Engineering (SBES)",
            publisher = "ACM",
             keywords = "Crowdsourcing, SLR, Systematic Literature Review, Tool.",
             abstract = "Systematic Literature Reviews (SLR) have been used by Software 
                         Engineering (SE) community to produce reliable scientific 
                         evidence. An SLR process can be exhaustive and time-consuming, 
                         therefore, many approaches have been proposed to reduce time and 
                         efforts during the SLR conduction process. Although the SLR 
                         process is amenable to automation, nowadays full automation is not 
                         yet possible. An alternative to reduce time and efforts in SLR 
                         conduction is the use of crowdsourcing. However, there is no 
                         crowdsourcing tool to support a crowd-based SLR process. In this 
                         context, we present CrowdSLR, a tool to support the application of 
                         crowdsourcing in SLR during the selection of primary studies. 
                         Furthermore, we present its main features, potential users, and 
                         the architecture that was implemented to allow researchers to 
                         adopt this tool. The results of the CrowdSLR application indicate 
                         that the tool is able to provide the use crowdsourcing during the 
                         SLR selection process. The results that the proposed tool, indeed, 
                         show a significant improvement in the crowdsourcing approach in 
                         terms of time and effort to facilitate the SLR selection activity. 
                         Demo Video: https://youtu.be/UoQTC-R-Mv0.",
  conference-location = "Online",
      conference-year = "29 Sept. - 01 Oct.",
                  doi = "10.1145/3474624.3476008",
                  url = "http://dx.doi.org/10.1145/3474624.3476008",
                 isbn = "978-145039061-3 and DOI",
             language = "en",
           targetfile = "santos_crowd.pdf",
        urlaccessdate = "31 maio 2024"
}