Source code analysis method based on makefile dependency

Abstract

The invention provides a source code analysis method based on makefile dependency. The method includes the following steps of 1, a dependency relationship extraction stage; 2, a source code information extraction stage; 3, an object definition search stage. The dependency relationship extraction stage includes the steps of firstly, information conversion, wherein a makefile is processed to obtain a corresponding intermediate file; secondly, redundant information processing, wherein redundant information in the intermediate file is removed; thirdly, dependency information extraction, wherein dependency information is extracted from the intermediate file; fourthly, ending. The source code information extraction stage includes the steps that firstly, source code content is analyzed to obtain source code information; secondly, symbol conversion is carried out, wherein symbols in the source code information are processed; thirdly, an index is established to establish data mapping; fourthly, the process is ended. The object definition search stage includes the steps that firstly, a file search range is confirmed, and a corresponding dependency file list is searched for; secondly, the definition position is confirmed, and the data mapping is searched for symbol information; thirdly, the process is ended. According to the source code analysis method based on makefile dependency, firstly, the file search range is determined, and then symbol definition position information is determined. By defining the file range, the accuracy of symbol definition search in source code analysis is improved to a great extent.

Description

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AI Technical Summary

Benefits of technology

This technology helps analyze files with their dependencies from other sources without actually analyzed them for its purpose or use it effectively. It uses this knowledge about how data objects can be found within an executable program's binary format (binary) that describes what parts they belong together). By doing these things correctly, we aim to improve our ability to locate specific areas inside programs more accurately than previously possible due to previous methods such as manual inspections.

Problems solved by technology

This patented technical solution describes analyzing sources codes efficiently with both automatic and statistical techniques like binary parsing (BST) and symbolic analysis (SE). However, there can also exist issues related to object orientation error caused by complex dependencies between different documents.

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