@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 = "24 abr. 2024"
}