Source code author identification method based on deep belief network
A deep belief network, author identification technology, applied in the field of Web mining and information extraction, to achieve strong robustness, broad application prospects, and improve efficiency.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0054] This embodiment describes the process of adopting a source code author identification method based on a deep belief network according to the present invention, such as figure 1 shown.
[0055] From figure 1 It can be seen that the specific steps are as follows:
[0056] Step 1), construct the source code data set by the source code data acquisition module, and preprocess the source code data;
[0057] Grab source code from a source code website and save it to your local computer. Wherein, the source code website can be a github website, and the URL is https: / / github.com / ;
[0058] Preprocess the collected source code, obtain the source code author and the source code file collection written by him;
[0059] Step 2), for the source code file, the source code feature extraction module adopts the method based on the continuous n-gram code segment model to extract the source code feature;
[0060] A code segment is a string of fields in source code separated by blanks,...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com