Deep Dive: Semantic Duplicate Detection with AST Analysis - How AI Keeps Rewriting Your Logic

The pattern-detect tool is designed to identify and classify duplicate patterns in JavaScript code. It uses a combination of semantic analysis, tokenization, and Jaccard similarity to detect near-identical logic across different functions or modules. Here's a detailed breakdown of how it works:

How Pattern Detection Works

1. Tokenization:

   • The tool first breaks down the source code into tokens (e.g., function names, variable names, keywords, operators).
   • This step helps in identifying the core logic and structure without focusing on syntactic differences.

2. Semantic Analysis:

   • After tokenizing, the tool performs semantic analysis to understand the logical flow of each pattern.
   • It looks at how variables are used, what operations are performed, and how control structures (like loops or conditionals) are implemented.

3. Normalization:

   • The tool normalizes the tokens and semantic structure to create a canonical representation of each pattern.
   • This involves removing unnecessary syntactic details that do not affect the logic's meaning.

4. Jaccard Similarity:

   • Jaccard similarity is used to measure how similar two patterns are based on their normalized representations.
   • The

Read the full article at DEV Community

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.