Acquiring Software Design Schemas: A Machine Learning Perspective

Abstract

In this paper, we describe an approach based on machine learning that acquires software design schemas from design cases of existing applications. An overview of the technique, design representation, and acquisition system, is presented. The paper also addresses issues associated with generalizing common features such as biases. The generalization process is illustrated using an example.