Vorona M. Mathematical models and information technology for estimating the size of open source PHP-based applications

The dissertation is devoted to solving an important scientific and practical problem of increasing the confidence of estimating the size of open source PHP-based applications by building appropriate mathematical models in the form of nonlinear regression models and creating information technology (IT) tool for estimating the size of open source PHP-based applications in the early stages of development according to the metrics of the class diagram. The relevance of this work is related to the following. First, software size (software) estimation is needed to estimate the effort of software application development, for example, using a well-known model such as COCOMO II. Second, early estimation of software size is a difficult task, as limited information is available in the initial stages of software development. Third, existing mathematical models for estimating the size of open source software applications in PHP generally do not contain random variables. All this leads to low confidence in estimating the size of open source software applications in PHP in the initial stages of their development.