Abstract
In this paper, we propose a method for using neural networks to model impacts on the parameters of complex IT projects for the creation of distributed information systems. The method allows predicting the level of changes in the results of the project activity at any time during the execution of projects and depending on changes in the time parameters of projects. An integrated information system is developed for modelling the changes of key parameters of IT projects using cloud data warehouses. The modern information technologies of management projects of leading developers are involved and integrated in the process of modelling. The evaluation of the results of modelling the effects of changes on the timing of work implementation is carried out taking into account the context characteristics of projects, including resource distribution both in time and in project work, cost distribution, etc. The model of in-depth training of the neural network is proposed, due to the experimental representation of the input and output data of numerical experiments. In this paper we propose a method for analysing the effects of changes on the terms of project execution.
Highlights
The dynamics of technology development in the IT area is determined by the increase in the number of new developments and the creation of more complex and powerful distributed information systems
This is facilitated by the rapid development of cloud computing, such as edge computing, which creates new services in the cloud [1], as well as artificial intelligence, blockade, large data analytics, quantum computing systems, etc
Companies will be urgently needed to change their own strategies, switch to new business conditions using integrated hybrid and multi-node tools and strategies implemented through distributed information systems [2, 3]
Summary
The dynamics of technology development in the IT area is determined by the increase in the number of new developments and the creation of more complex and powerful distributed information systems. According to the American analyst company IDC (International Data Corporation), which specializes in IT studies, over the 5-10 years, more than 90% of all enterprises will organize their own digital IT environment for further development in the digital economy, will create new digital business-models; more than 60% of global GDP will come from digital technologies and solutions [1]. In such situation, companies will be urgently needed to change their own strategies, switch to new business conditions using integrated hybrid and multi-node tools and strategies implemented through distributed information systems [2, 3]. Consideration of the possibilities of experimental use of neural networks in studies of the interaction of numerical changes on the parameters of IT projects with the definition of their optimal states is an urgent task
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