The research is devoted to the investigation of scientific and applied problems of software complexes’/products’ comprehensive support automation and intellectualization. The main scientific and applied problem solved in this research is the task of ensuring an automation (with simultaneously increasing of intellectualization level) of the processes of software complexes’ support teams formation based on preliminary processing and further analysis of polyfactor portraits of available candidates. An appropriate method software complexes' support teams automated formation based on candidates' polyfactor portraits analysis, has been developed, which provides the possibility of solving the declared scientific and applied problem, which is the main scientific novelty of this work. The basis of the proposed method consists of: an appropriate developed algorithm, as well as a relevant specialized basic mathematical model, which ensure the achievement of the goal of the developed method in solving the declared scientific and applied problem. Main feature of the developed method is its versatility, which is ensured by the possibility of using various necessary sets of impact factors which form the corresponding polyfactor portraits of candidates, by processing and analyzing them from various perspectives, creating optimal conditions for the formation of high-quality teams with a high level of compatibility of their members. Two main options of forming the software complexes’ support teams have been developed and proposed, which are used in the developed method and consist in determining the criterion for achieving the goal of the team formation process. One of the developed options involves using as such a criterion – the achievement of a predetermined required number/amount of members of the formed team, while the second one – involves compliance with a predetermined threshold of candidates’ compatibility (based on the analysis of their polyfactor portraits) regardless of the declared number of members of the formed team of supported software complex. Approbation of the developed method was carried out on the basis of solving the practical applied problem of identifying a candidate with the most balanced polyfactor portrait – as a potential leader of the newly formed support team of the researched software complex. The prospects for further research on potential ways of development, improvement and practical application of the developed method (in the context of studying the tasks of scientific and applied issues of software’s support automation and intellectualization, as well as the a human-machine interaction) are considered as well.
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