Brasil
| masterThesis
SMiLe: uma notação textual modular para modelos iStar
Fecha
2017-07-28Registro en:
PENHA, Fábio Fernandes. SMiLe: uma notação textual modular para modelos iStar. 2017. 92f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2017.
Autor
Penha, Fábio Fernandes
Resumen
A modern society, progressively, provides increasingly sociotechnical environments through
of complex systems. This complexity is to due to the large number of parties interacting
in a non-simple way, given the properties of these parts and the laws governing
these interactions. In addition to this circumstance, the Software Engineering reinforces
that the universe of information needed to perform a broader modeling, and involves
more dimensions of already consolidated: static and dynamic. Thus, the iStar framework
emerges with an ontology capable of capturing and represent intentional and social information
of the environment analyzed in two graphic models: Strategic Dependency (SD)
and Strategic Reasoning (SR). However, this same framework does not offer alternatives
to improve the understanding of its graphic models, when these represent a large number
of parts of these environments. Therefore, the objective of this dissertation was to offer an
alternative to the iStar framework to deal with the complexity provided by the complex
systems, in order to positively influence the understanding and learning of the iStar models.
To this end, a textual notation has been developed to understand social information
through an interdependent structure. In the developed evaluation, it was observed the
relevance of this textual notation for the graphic models as follows: (i) a complementary
alternative for reading of the graphic models, as well as (ii) the importance of building
these models from interdependent structures.