Abstract: Program synthesis is a technique for automatically generating programs, which derives corresponding program code from given specifications or requirements. With the successful application of artificial intelligence in the field of program synthesis, intelligent program synthesis technology has become a new paradigm for software development. Although there are some evaluation methods for intelligent program synthesis technology, there are still many challenges that need further improvement and refinement. This paper summarizes and refines evaluation indicators for intelligent program synthesis technology by investigating the evaluation criteria used in intelligent program synthesis technology and analyzing the mainstream evaluation methods of intelligent program synthesis technology. Combined with the characteristics of aerospace embedded software, a hierarchical evaluation indicator system for intelligent synthesis of aerospace embedded software is constructed, and a comprehensive evaluation method for intelligent synthesis technology of aerospace control software mainly based on dynamic and static combination is designed. By calculating the Pearson correlation coefficient with ChatGPT3.5 simulating human scores, it is found that the proposed combined dynamic and static evaluation method can obtain a higher correlation coefficient than either dynamic or static evaluation methods alone, and can reflect the improvement of performance after model iteration.