To solve the problems that the method of building clone genealogy is complicated, as well as evolution patterns need urgently expanding, new clone evolution patterns were proposed, and clone genealogy was built automatically based on the mapping relationships of code clones between versions. First, topics of code clones were extracted using Latent Dirichlet Allocation (LDA) from clone detection results in each released software version. Second, mapping relationships of code clones between of versions were confirmed by similarities of the topics. Third, evolution patterns were appended to code clones according to the existing mapping relationships, and evolution features were analyzed. Finally, clone genealogy was built by integrating mapping relationships and evolution patterns together. Experiments of building clone genealogy was conducted on four open source systems. The experimental results show that the proposed approach is feasible, and the proposed evolution patterns really exist in the procedure of software evolution. Further more, it is found that about 90% of code clones in the software systems are stable during evolution, and approximately 67% of clone groups live through less than half of the release versions. The experimental conclusions and relevant analysis provide strongly support for the future research as well as maintenance and management of code clones.