FORECASTING PROJECT METRICS BASED ON COGNITIVE MODELS, VIEWS A BIPARTITE GRAPH

Authors

  • Александр Михайлович Возный NationalShipbuildingUniversitynamed after Admiral Makarov Heroes ofStalingrad, 9, Nikolaev, 54025, Ukraine
  • Константин Викторович Кошкин National Shipbuilding University named after Admiral Makarov Heroes of Stalingrad, 9, Nikolaev, 54025, Ukraine https://orcid.org/0000-0003-2545-1388
  • Наталья Ромуальдовна Кнырик National Shipbuilding University named after Admiral Makarov Heroes of Stalingrad, 9, Nikolaev, 54025, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.6754

Keywords:

project planning, cognitive modeling, underdetermined computational models

Abstract

All existing methods of planning and monitoring of the project progress include the presence of clear analytical relationship between the project parameters. Due to the limited information in the absence of analytical relationships between the factors a problem of forecasting the parameters of the project in the course of time have been appeared. The concept of a prediction model based on the integration of the project mechanisms of cognitive modeling and underdetermined computational models as the most effective way of solving constraint satisfaction problems has been suggested. The four conditions of the possibility of integration models: equivalence of sets of factors, included a sets of functional dependencies, extensibility digraph to computational network and portability of computing mechanisms of cognitive modeling on the base of underdetermined computational models have been analyzed. It is shown that it is not only retains all the advantages of the first, but also eliminates a number of shortcomings. The feasibility of the proposed mechanism for solving the problems of project management has been given. The further steps on integration of cognitive modeling and underdetermined computational models have been determined.

Author Biographies

Александр Михайлович Возный, NationalShipbuildingUniversitynamed after Admiral Makarov Heroes ofStalingrad, 9, Nikolaev, 54025

PhD, Associate Professor

Project Management Department

Константин Викторович Кошкин, National Shipbuilding University named after Admiral Makarov Heroes of Stalingrad, 9, Nikolaev, 54025

Doctor of Technical Sciences, Professor

Department of Information Control Systems and Technologies

Наталья Ромуальдовна Кнырик, National Shipbuilding University named after Admiral Makarov Heroes of Stalingrad, 9, Nikolaev, 54025

Senior lecturer

Department of Information Control Systems and Technologies

References

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Published

2013-02-10

How to Cite

Возный, А. М., Кошкин, К. В., & Кнырик, Н. Р. (2013). FORECASTING PROJECT METRICS BASED ON COGNITIVE MODELS, VIEWS A BIPARTITE GRAPH. Eastern-European Journal of Enterprise Technologies, 1(10(61), 27–29. https://doi.org/10.15587/1729-4061.2013.6754

Issue

Section

Integrated strategic management, project management and software development companies and territorial