Business?process?execution language (BPEL) is an executable web service composition language. Compared with traditional programs, BPEL programs are significantly different in terms of programming models and execution modes. These new features make it challenging to locate and fix faults of BPEL programs detected during the testing process. In addition, fault fixing techniques developed for traditional software cannot be used for BPEL programs directly. This study proposes a fault fixing technique for BPEL programs based on template matching, namely BPELRepair from the perspective of mutation analysis. In order to overcome the high computational overhead of the mutation analysis-based fault fixing technique, a set of optimization strategies are proposed from three perspectives, namely patch generation, test case selection, and termination condition. A supporting tool is developed to improve the automation and efficiency of fault fixing for BPEL programs. An empirical study is used to evaluate the effectiveness of the proposed fault fixing technique and optimization strategies. The experimental results show that the proposed technique can successfully fix about 53% of faults of BPEL programs, and the proposed optimization strategies can significantly reduce the overhead in terms of search matching, patch program verification, test case execution, and fault fixing.