Research on Software Development Project Implementation Effect Evaluation Based on Support Vector Machine

Abstract

The software development project implementation effect evaluation is important for assessing the software development. From the aspects of progress, cost and performance, the software development project implementation effect evaluation indicator was constructed, and the software development project implementation effect evaluation process based on support vector machine was proposed, and three support vector machine classifiers (excellent/qualified, excellent/unqualified, qualified/unqualified) were used to train and test the model with sample sets. The accuracy of the tested model was 92%, and a case analysis was carried out. The research conclusions provide effective methods for carrying out the implementation effect evaluation of software development projects.