An Automated Method for Selecting GoF Design Patterns

Abstract

Nowadays, an increase in the growth of software systems has risen the importance of the design phase. So far, developers have introduced numerous software design patterns. This study presents a new method to select the Gang of Four (GoF) design patterns. The proposed method is implemented based on the vector space model (VSM). In this method, the Term Frequency-Inverse Document Frequency (TF-IDF) weighting algorithm has been improved to determine the similarity between two texts, more accurately. Also, we used a set of hyponyms and synonyms of the words in weighting. We evaluated the proposed method with 23 design patterns, 29 object-oriented related design problems, and nine real-world problems. Finally, we observed promising results compared to other methods. We found 8.5%, 1.2%, and 5.2% improvement in terms of precision, recall, and accuracy of the proposed method as compared to other methods.