Descoberta de relacionamentos entre padrões de sofware utilizando semântica latente

Abstract

The reuse of software patterns is becoming increasingly common in developing systems, because it is a good practice of engineering software that aims to promote the reuse of solutions to recurring problems. However, there is a lack of mechanisms that promote the search for patterns appropriate to each situation. There is also a difficulty in detecting relationships among the software patterns available in the literature.This work presents the use of techniques for text mining into a set of software patterns in order to identify how these patterns are related. The technique of mining, intelligent text search extract concepts from textual information.The software pattern should be treated within the mining of text as a volume of text with a defined structure for its template. The degrees of relationships among the patterns are possible in certain types of relationships among them, and through rules based on the concept of software pattern. These rules, coupled with the technique of text mining, generate information of relationship you want.