Odhady složitosti podnikových procesů

Abstract

During the design and implementation of business processes are often in a situation where it is necessary to determine the approximate estimate of effort that must be undertaken to create a business process. This is a complex task because the estimates are subject to a number of factors. When estimating the effort, however, often times we can rely on the known processes and thus created in a way to derive the complexity of the process based on the already known estimates. The thesis deals with the implementation of a tool for estimating the effort associated with creating a business process. The program takes advantage of artificial neural networks, UML activity diagram and graph-oriented business process metrics. Selected metrics are implemented and used in estimating the effort in conjunction with artificial neural networks. The conclusion includes evaluation of results.