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Ontological model and decision-making algorithm for the selection of software development tools
Proshkina Elena Nikolaevna

PhD in Technical Science

Associate Professor, Department of Mathematical Support and Application of Computers, Penza State University

440026, Russia, Penzenskaya oblast', g. Penza, ul. Krasnaya, 40

enp58@list.ru
Balashova Irina Yur'evna

PhD in Technical Science

Associate Professor, Department of Mathematical Support and Application of Computers, Penza State University

440026, Russia, Penzenskaya oblast', g. Penza, ul. Krasnaya, 40

irs-80@mail.ru
Dzyuba Elena Anatol'evna

Senior Lecturer, Department of Mathematical support and application of a computer, Penza State University

440026, Russia, Penzenskaya oblast', g. Penza, ul. Krasnaya, 40

kazakova_ea@mail.ru

Abstract.

The paper shows the solution of the problem of constructing an ontological model for the choice of software development tools. The classes of the constructed ontological model form a taxonomy. Questions of representation of the developed ontological model in the form of the non-uniform oriented graph are considered. To support the ontology and solve on its basis the tasks of selecting software development tools on the constructed model, operations of adding and modifying the main ontology concepts are defined, which are the criteria for evaluating software quality. To evaluate and decide on the choice of tools based on the developed ontological model, an algorithm based on the method for estimating the similarity of objects in the intellectual space of knowledge is proposed. The novelty of the presented work is to build an ontological model of knowledge for making decisions on the choice of software development tools that allows to expand the composition of concepts and relationships between them, which provides the opportunity to describe various objects, subjects and processes of the software life cycle.

Keywords: estimation of similarity of objects, decision-making algorithm, concept, class, non-uniform oriented graph, taxonomy, ontological model, intellectual space of knowledge, evaluation criterion, life cycle

DOI:

10.7256/2454-0714.2018.1.25470

Article was received:

16-02-2018


Review date:

25-02-2018


Publish date:

21-03-2018


This article written in Russian. You can find full text of article in Russian here .

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