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Cybernetics and programming

Controlled formation of concepts with fuzzy meaning in architectural modeling of systems with software

Sosnin Petr

Doctor of Technical Science

Professor, Department of Computer Engineering, Ulyanovsk State Technical University

432027, Russia, Ul'yanovskaya Oblast' oblast', g. Ul'yanovsk, ul. Severnyi Venets, 32

Kulikova Anna

Postgraduate Student, Department of Computer Engineering, Ulyanovsk State Technical University

432027, Russia, Ul'yanovskaya oblast', g. Ul'yanovsk, ul. Severnyi Venets, 32

Namestnikov Aleksey

Doctor of Technical Science

Associate Professor, Department of Information Systems, Ulyanovsk State Technical University

432027, Russia, Ul'yanovskaya oblast', g. Ul'yanovsk, ul. Severnyi Venets, 32




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Abstract: The subject of the research is ontological modeling of concepts (concepts) that are of fuzzy significance, the uncontrolled use of which usually leads to problems with the success of the development of systems that use software intensively (Software Intensive Systems, SIS). The object of the study is the reification of SIS quality characteristics that relate to typical concepts of this type. Particular attention is paid to the requirements of those persons of the project environment (stakeholders), whose diverse interests usually add uncertainty to the requirements for the developed SIS, but must be taken into account in the project without fail. The paper proposes a coordinated application of architectural modeling methods and fuzzy logic for evaluating quality characteristics, which should be computable and controlled during the design process. The novelty of the study is determined by the inclusion in the structure and content of concepts with a fuzzy value of new components that register the dynamics of their formation during the design of a certain SIS so that for each of these concepts the current value of its content allows you to control the achieved value of the degree (level) of professional maturity of the concept. New components are the expansion of the attributes of the concept and the operational computational connection of attributes with the normative work flows, the groups of which are consistent with the levels of professional maturity of the conceptualization of the concepts in the project.

Keywords: membership function, conceptual space, requirements analysis, software intensive systems, fuzzy logic, project ontology, computer-aided design, applied ontologies, maturity model, estimated value
This article written in Russian. You can find full text of article in Russian here .

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