Method and device for searching target vocabulary in software

Abstract

The present invention provides a method and device for searching target vocabulary in software, the method comprising: acquiring the target vocabulary and the file information of each file of the software to be searched; converting the character string of the target vocabulary into a first code of preset base , and convert all file information strings into the second encoding of the preset base; traverse the second encoding, and after judging that there is a sub-encoding that overlaps with the first encoding in the second encoding, output the file corresponding to the overlapping sub-encoding information. The present invention converts the target vocabulary and the file information of all files of the software to be searched into codes of a unified preset base system, and then judges whether there is a code of the target vocabulary in the codes corresponding to the files, so as to realize automatic traversal of all files of the software to be searched Whether there is a target vocabulary, accurately and quickly determine the position of the target vocabulary in the software to be searched, in the process of software testing, it can greatly reduce the testing time, the test coverage rate is as high as 100%, accurate and efficient.

Description

technical field [0001] The invention relates to the field of software testing, in particular to a method and device for searching target vocabulary in software. Background technique [0002] During the software development process, programs, configuration files, and file names may contain words and characters that are not suitable or cannot exist (hereinafter collectively referred to as forbidden words or sensitive words). For example, the use of open source code contains stop words; software copyright ownership changes, and incomplete updates lead to stop words; during the development process, due to mistakes by R&D personnel, software contains stop words, etc. [0003] The prior art generally checks folders and file names containing stopwords through the file search of the operating system, and manually tests and checks by opening software installation related files one by one. The disadvantages of the existing method are not obvious when the scale of the software product...

AI Technical Summary

Problems solved by technology

The disadvantages of the existing method are not obvious when the scale of the software product is relatively small and there are only a few stop words, but once the scale of the software product is large, the number of stop words is large, and the design scope is wide, the test range is too large and it is extremely costly. Test time and it is difficult to guarantee test stop word test accuracy and software product quality

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