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The demand for automation of equipment software quality evaluation is increasing. Multiple rounds of iterative modification are necessary in the quality evaluation process of equipment software, the impact domain analysis of the modified code is focused on the software quality evaluation process. At present, the influence domain analysis of the modified code completely relies on manual labor. As the large scale of equipment software code, manual analysis takes a long time, and the equipment delivery cycle is lengthened. In order to improve the efficiency of equipment software quality evaluation, it is imperative to study the automatic analysis of code influence domain. To solve the problem of analyzing the influence domain of equipment software code, an identifier-based code modification feature extraction method is proposed, which can quickly extract the modification characteristics of large-scale codes; an analysis method of influence domain based on identifier detection queue is proposed, which can realize rapid automatic analysis of influence domain of equipment software, with an accuracy rate of 85.7%. This method can satisfy automatic analysis of influence domain of existing equipment software.