The Model Algorithm for Software Functionality Scaling in a Specific Industry

The changes in software function points are crucial to the transformation of a system. Analyzing the relationship between these changes and evaluating their impact remains a challenging problem. Based on several current typical industry software systems, this paper collects the original data of their code volume, statistically analyzes the internal relationship of their changes, excavates the curve of the variation law of the code volume, and designs a system of software code volume estimation models. It realizes the prediction of function point changes, the estimation of upgrade costs based on the relationship between the function point scale and the source code. By establishing reference software or a baseline function point scale, the subsequent transformation scale and related support costs can be predicted.