FEATURES OF MODELING THE MARKET OF SOFTWARE

Authors

  • Ivan Mykolayovich Karpovych National University of Water and Environmental Engineering image/svg+xml , National University of Water and Environmental Engineering image/svg+xml
  • Olena Mykolayivna Hladka National University of Water and Environmental Engineering image/svg+xml , National University of Water and Environmental Engineering image/svg+xml
  • Maxim Ustymchik National University of Water and Environmental Engineering image/svg+xml , National University of Water and Environmental Engineering image/svg+xml

DOI:

https://doi.org/10.31713/MCIT.2019.02

Keywords:

software, market, diffusion of innovations, model, dynamics

Abstract

The analysis of models of diffusion of innovations in the software market is carried out. The optimization of the model of diffusion of innovations is realized, the optimal values of the corresponding parameters are found. The influence of significant factors on the dynamics of software distribution on the market is analyzed. The peculiarities of the interaction of manufacturers and users of software in the conditions of existence of the market of illegal (pirate) copies are considered.

Author Biographies

  • Ivan Mykolayovich Karpovych, National University of Water and Environmental Engineering, National University of Water and Environmental Engineering

    PhD on Physics and Mathematics Science, Associate Professor in Department of Computer Science 

  • Olena Mykolayivna Hladka, National University of Water and Environmental Engineering, National University of Water and Environmental Engineering

    PhD on Engineering Science, Associate Professor in Department of Computer Science 

  • Maxim Ustymchik, National University of Water and Environmental Engineering, National University of Water and Environmental Engineering

    3nd year student

References

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Published

2019-11-05

How to Cite

FEATURES OF MODELING THE MARKET OF SOFTWARE. (2019). MCIT: Proceedings of International Scientific and Practical Conference, 3, 139-140. https://doi.org/10.31713/MCIT.2019.02

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