Abstract
The main features of existing methods for solving the problem of IT product configuration analyzing are considered. The main disadvantages of these methods are highlighted. It is proposed to divide the task of IT product configuration analyzing into two subtasks. Solutions to the subtask of forming a set of options for decomposing the description of the system architecture into separate functional configuration elements using divisive and agglomerative algorithms are considered. A comparative analysis of the application features of hierarchical clustering algorithms for solving this subtask is carried out. A modification of the nearest neighbor algorithm is proposed, which allows timely detection of configuration elements with completely matching descriptions.
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