@InProceedings{SilvaSaSoMeFeVi:2020:SyMa,
               author = "Silva, Patrick R. and Santos, Vin{\'{\i}}cius dos and Souza, 
                         {\'E}rica F. and Meinerz, Giovani V. and Felizardo, K. R. and 
                         Vijaykumar, Nandamudi Lankalapalli",
          affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} 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 {Universidade 
                         Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Extraction of useful information from unstructured data in 
                         software engineering: a systematic mapping",
                 year = "2020",
         organization = "Iberoamerican Conference on Software Engineering, 23.",
             keywords = "software engineering, systematic mapping, textual analysis, useful 
                         information.",
             abstract = "Context: A large number of information is generated and 
                         manipulated in Software Engineering (SE) projects. The technology 
                         surrounding this domain is constantly evolving. To keep up with 
                         such evolution, developers share their knowledge and seek help 
                         from other developers by means of interactive and collaborative 
                         environments. Understanding and extracting knowledge from these 
                         environments can enable developers to identify useful information 
                         for the project. Objective: This work aims to identify the main 
                         textual analysis approaches to extract useful information in the 
                         SE. Method: To achieve the proposed objective, we conducted a 
                         Systematic Mapping (SM). Results: We analyzed 69 relevant primary 
                         studies addressing approaches to extract useful information in the 
                         SE. Conclusion: Among the main conclusions of this study, we can 
                         infer that discussion forums attracted a significantly attention 
                         in SE context and it becomes one of the main textual databases 
                         investigated to extract useful information.",
  conference-location = "Curitiba, PR",
      conference-year = "09-13 nov.",
           targetfile = "silva_extraction.pdf",
        urlaccessdate = "2024, Apr. 20"
}