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@Article{SouzaFalbVija:2017:ReOnSo,
               author = "Souza, {\'E}rica Ferreira de and Falbo, Ricardo de Almeida and 
                         Vijaykumar, Nandamudi Lankalapalli",
          affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "ROoST: Reference Ontology on Software Testing",
              journal = "Applied Ontology",
                 year = "2017",
               volume = "12",
               number = "1",
                pages = "59--90",
             keywords = "Software testing, ontology, reference ontology, ontology 
                         evaluation, knowledge management.",
             abstract = "Software testing is a complex and critical process for achieving 
                         product quality. Its importance has been increasing and well 
                         recognized, and there is a growing concern in improving the 
                         accomplishment of this process. In this context, Knowledge 
                         Management (KM) emerged as an important supporting approach to 
                         improve the software testing process. However, managing relevant 
                         testing knowledge requires effective means to represent and to 
                         associate semantics to a large volume of testing information. To 
                         address this concern, we have developed a Reference Ontology on 
                         Software Testing (ROoST). ROoST establishes a common 
                         conceptualization about the software testing domain, which can 
                         serve several KM-related purposes, such as defining a common 
                         vocabulary for knowledge workers with respect to the testing 
                         domain, structuring testing knowledge repositories, annotating 
                         testing knowledge items, and for making search for relevant 
                         information easier. In this paper, we present ROoST, and we 
                         discuss how it was developed using two ontology pattern languages. 
                         Moreover, we discuss how we evaluated ROoST following four 
                         complementary approaches: assessment by humans, data-driven 
                         evaluation, ontology testing, and application-based evaluation.",
                  doi = "10.3233/AO-170177",
                  url = "http://dx.doi.org/10.3233/AO-170177",
                 issn = "1570-5838",
             language = "en",
        urlaccessdate = "05 dez. 2020"
}


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