International business machines corporation (20240289124). CONTEXT AWARE CODE SNIPPET RECOMMENDATION simplified abstract
Contents
CONTEXT AWARE CODE SNIPPET RECOMMENDATION
Organization Name
international business machines corporation
Inventor(s)
Martin G. Keen of Durham NC (US)
Jeremy R. Fox of Austin TX (US)
CONTEXT AWARE CODE SNIPPET RECOMMENDATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289124 titled 'CONTEXT AWARE CODE SNIPPET RECOMMENDATION
Simplified Explanation: This patent application describes a method, system, and computer program product for recommending code snippets based on comments in the source code.
Key Features and Innovation:
- Generating comments for source code
- Learning semantically meaningful sentence embeddings from the comments
- Retrieving code snippets based on the learned sentence embeddings
Potential Applications: This technology can be applied in software development environments to assist programmers in finding relevant code snippets quickly and efficiently.
Problems Solved: This technology addresses the challenge of searching for specific code snippets within a large codebase by utilizing natural language processing techniques.
Benefits:
- Improved code search and recommendation process
- Enhanced productivity for developers
- Better understanding of code context and functionality
Commercial Applications: "Context-Aware Code Snippet Recommendation System for Software Development Environments"
Prior Art: Researchers can explore prior art related to natural language processing in code search and recommendation systems to understand the existing technologies in this field.
Frequently Updated Research: Stay updated on advancements in natural language processing, code recommendation systems, and software development tools to enhance the capabilities of this technology.
Questions about Context-Aware Code Snippet Recommendation: 1. How does this technology improve the efficiency of code search and recommendation? 2. What are the key components of the system for generating comments and retrieving code snippets?
Original Abstract Submitted
a context aware code snippet recommendation method, system, and computer program product that includes generating comments for source code, learning semantically meaningful sentence embeddings based on the comments, and retrieving code snippets from the source code based on the learned semantically meaningful sentence embeddings.