Pryimak N. The information technology of the associative rules search for the duration of software development

The thesis is dedicated to the study of increasing the accuracy of determining the duration of the task development, as well as of reducing the duration of the associative rules search which are used for this. This is achieved through the usage of appropriate information technology. An information model of the associative rules search for the duration of software development has been suggested. It is based on improved FP-Growth method, which is used to find associative rules by classifying the input set of tasks into three classes according to their characteristics: category 1 (tasks easy to accomplish), category 3 (tasks difficult to accomplish), category 2 (tasks that are between easy and difficult). This improvement has increased the accuracy of determining the time required to complete a task using the found associative rules, as well as to reduce the duration of the search for such dependencies. Information technology of the associative rules search for the duration of software development has been developed, based on the proposed information model of this process.