Uma solução baseada em ontologia para a prevenção de erros comuns em modelos de requisitos escriitos na linguagem i*
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2016-03-29
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Universidade Federal de Goiás
Resumo
The Goal Oriented Requirements Engineering (GORE) approach represents users’ needs
through goals with focus on capturing the real intentions of stakeholders. Based on the
GORE technique, the i* modeling language represents system’s and organization’s goals
and brings several advantages. Despite that, the i* language faces problems regarding the
quality of models, which include typical mistakes of misuse of i* constructs, the presence
of ambiguities on the interpretation of those constructs, and the complexity of the resulting
i* models. The aim of this work is to present an ontology-based solution for i* models in
order to reduce the most well-known errors while constructing such models. To achieve
this goal was accomplished initially a literature search, followed by an experimental
research to produce the proposed solution This solution includes the extension of an
ontology called OntoiStar+ with OWL restrictions to ensure that frequent mistakes in
i* models are not found. Besides, the TAGOOn+ tool was also extended to validate i*
models in the iStarML language and convert those to an OWL representation.To perform
the tests were modeled two different domains, Media Shop and on universities, using these
domains case studies have been reproduced and measured results. Results demonstrate an
approximate coverage of 70% of those common errors with extension of OntoiStar+ and
more than 80% with extension of TAGOOn+ tool.
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FRANÇA, H. F. C. Uma solução baseada em ontologia para a prevenção de erros comuns em modelos de requisitos escriitos na linguagem i*. 2016. 86 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016.