METHOD OF FORMING MULTIFACTOR PORTRAITS OF THE SUBJECTS SUPPORTING SOFTWARE COMPLEXES, USING A MULTILAYER PERCEPTRON
DOI:
https://doi.org/10.15588/1607-3274-2025-1-12Keywords:
automation, software complex, support, impact factor, multifactor portrait, neural networks, multilayer perceptronAbstract
Context. The problem of identification and determination of personalized comprehensive indicators of presence each of the impact factors in the processes of personal subjectivization of the researched supported object’s perception by the relevant subjects interacting with it and making influence on its support, is being considered in this research. The process of forming multifactor portraits of subjects supporting software complexes, using a multilayer perceptron, is an object of study. While methods and means of forming such multifactor portraits of subjects supporting software complexes is the subject of study respectively.
Objective. The goal of the work is the creation of a method of forming multifactor portraits of subjects supporting software complexes, using a multilayer perceptron.
Method. A method of forming multifactor portraits of subjects supporting software complexes is proposed, using artificial neural networks of the multilayer perceptron type, which provides possibility to form appropriate personalized multifactor portraits of subjects which, directly or indirectly, interact with the object of support (which can represent both the supported software complex itself as well as the processes associated with its complex support activities).
Results. The results of functioning of the developed method are the corresponding models of multifactor portraits of subjects supporting software complexes, which later are used to solve a cluster of scientific and applied problems of software complexes’
support automation, in particular, the problem of identification and determination of personalized comprehensive indicators of presence each of the impact factors (from appropriate pre-agreed and declared set of impact factors) in the processes of personal subjectivization of the researched supported object’s perception by the relevant subjects interacting (directly, or indirectly) with it and making influence on its support. As an example, of practical application and approbation of the developed method, the results of resolving the applied practical task of automated search and selection of a maximal relevant candidate (from among the members of the support team of the supported software complex) for best solving of a stack of specialized client’s requests (related to the support of this software complex), are given.
Conclusions. The developed method provides possibility to resolve the scientific and applied problem of identification and determination of personalized comprehensive indicators of presence each of the impact factors (from appropriate pre-agreed and declared set of impact factors) in the processes of personal subjectivization of the researched supported object’s perception by the relevant subjects interacting (directly, or indirectly) with it and making influence on its support. In addition, the developed method provides possibility for creating appropriate models of multifactor portraits of subjects supporting software complexes, which makes it possible to use them in solving problems, tasks, or issues related to the automation of search and selection of subjects supporting software complexes, which (subjects) meet the given criteria both in the context of subjectivization processes of personal perception
of the support objects (e.g. supported software complexes themselves, or processes directly related to their support), as well as in the context of compatibility in interaction with client’s users of these supported software products (as those users, in fact, are also subjects of interaction with the same researched supported object).
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