A Needs Engineering Methodology for Identification and Modeling Process Semantics for Cooperation Networks
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2016
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SOBRINO, F. G.
GATTAZ, C. C.
GONÇALVES, C. M.
FERRÃO, A. M. A.
GATTAZ, C. C.
GONÇALVES, C. M.
FERRÃO, A. M. A.
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Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016
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SOBRINO, F. G.; GATTAZ, C. C.; GONÇALVES, C. M.; FERRÃO, A. M. A. A Needs Engineering Methodology for Identification and Modeling Process Semantics for Cooperation Networks. Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016, p. 404-409, feb. 2016.
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© 2016 IEEE.The complexity of today's world reflects and is reflected on society's lifestyle, space and productive structure, the economy, and in technological processes. In this perspective, the essence of a social glance should not focus exclusively in humanities, but in a new type of engineering of cooperation networks. The identification and modeling of process semantics for cooperation networks should, therefore, seek a kind of engineering focused on the problem and not on the activity or even the solution, as advocated the classical methodologies. The humankind needs require an interoperability between the institutions and subjects and also to the orientation and effectiveness to the results. The engineering of requirements attend as an alternative approach to the identification and modeling of process semantics for cooperation networks and receives the contribution of classic authors of cooperation networks such as Nash (1950a, b), social science, such as Marx, Rousseau, Angel, Habermas (1984), of psychology, known Maslow (1954, 1963), McClelland (1961) of engineering systems, represented by Ramammorthy (2000) and Gattaz Sobrinho (2000). This framework anchors the construction theory, extending and including new variables in the engineering approach, firstly the concept of mankind and society. Engineering and requirements are the theory-reference categories of the proposed approach and research of complexity, inclusion, uniqueness, complexity management which are conceptual categories.