文摘
Used hybridized search based algorithms to identify change prone classes. For empirical validation, two open source projects (Apache Rave,Commons Math) used. Assessed performance of search based algorithms using g-mean and accuracy. Machine learning models constructed and performance compared with hybridised models. Results showed that hybridised models outperformed machine learning models.