Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018


Ryndin A.A.   Ryndin N.A.   Sapegin S.V.  

UDC 004.7
DOI: 10.26102/2310-6018/2019.27.4.020

  • Abstract
  • List of references
  • About authors

The article discusses models and algorithms of synthesis of design solutions in the process of development of developing software systems, based on the approach of multiple integration. The problem of software evolution, as well as the problem of designing and controlling the evolutionary trajectory of software systems, is now receiving much attention. Different types of systems have different nature and duration of the evolutionary cycle are distinguished, but the overall objective is to design the software life cycle in a rational manner, including its development stage. Having presented the designed software as a dynamic developing system, we can express the process of building a software complex in the form of a design route consisting of a sequence of tasks of multicriteria selection, and the result of each choice affects the trajectory of subsequent development of the system. By dividing IP components into organizational solutions, information infrastructure and user services, and applying methods of multiple integration, we can solve in numerical form the problem of rational choice of options at each stage of decision-making in the process of software development and thus develop software tools and components in the conditions of modern innovative economy.

1. Altshuller Genrich (2005). 40 Principles: extended edition. Translated by Lev Shulyak with additions by Dana Clarke. Sr. Worcester, MA: Technical Innovation Center. ISBN 978-0- 9640740-5-7

2. Mario Hermann, Tobias Pentek, Boris Otto. Design Principles for Industrie 4.0 Scenarios. 49th Hawaii International Conference on System Sciences (HICSS). 2016.

3. Klaus Schwab. The Fourth Industrial Revolution. World Economic Forum. 2016. ISBN 1944835008.

4. Klaus Schwab. The Fourth Industrial Revolution: what it means, how to respond. World Economic Forum. 2017.

5. Lvovich Ya.E. Multi-alternative optimization: theory and application. Voronezh: Kvarta, 2006.

6. Rapid Foresight Methodology 0.4 COMMUNITIES OF PRACTICE DEVELOPERS. Moscow, 2017.

7. Ryndin A.A. Multiple integration: theory and applications in CAD: monograph. Voronezh: Voronezh State Technical University, 2018.

8. Object Management Group, Essence - Kernel And Language For Software Engineering Methods (Essence). 2014. Available by: http://www.omg.org/spec/Essence/.

9. Ivar Jacobson, Pan-Wei Ng, Paul E. McMahon, Ian Spence and Svante Lidman. The Essence of Software Engineering: The SEMAT Kernel. Communications of the ACM. 2012;55(12):42-49.

Ryndin Alexander Alekseevich
Doctor of Technical Sciences Professor
Email: svsapegin@mail.ru

Voronezh State Technical University

Voronezh, Russian Federation

Ryndin Nikita Aleksandrovich
Candidate of Technical Sciences Associate Professor
Email: ryndin@comch.ru

Voronezh State Technical University

Voronezh, Russian Federation

Sapegin Sergey Vladimirovich
Candidate of Technical Sciences
Email: svsapegin@mail.ru

Voronezh State University

Voronezh, Russian Federation

Keywords: multimodal data, repository, research organization, distributed platform, interdisciplinary research

For citation: Ryndin A.A. Ryndin N.A. Sapegin S.V. MATHEMATICAL MODELS AND ALGORITHMS OF MULTIVARIATE SYNTHESIS OF DESIGN SOLUTIONS IN DEVELOPMENT OF ARCHITECTURE OF DEVELOPING SOFTWARE SYSTEMS. Modeling, Optimization and Information Technology. 2019;7(4). Available from: https://moit.vivt.ru/wp-content/uploads/2019/11/RyndinSoavtors_4_19_1.pdf DOI: 10.26102/2310-6018/2019.27.4.020 (In Russ).


Full text in PDF