Alias analysis plays an important role in various program analyses Comparing to traditional static alias analysis which struggles for precision under the lack of dynamic information, profile techniques show a great potential in this area since they don't need to make any over-approximation. In this paper, we propose an framework which uses profile techniques to perform alias analysis. We can get more 52 % queries than the worst case for 429.mcf. We also find that although we have a more accurate alias analysis, the performance has insignificance gain. And we simulate several schemes in context sensitivity and field sensitivity. We find that acyclic scheme in context sensitivity is useful and field sensitivity is important for alias analysis.