1   Apply comparison algorithms to tokenized source code to rapidly calculate similarity at the token, line, and file levels.

 2   Measure continuous similarity of adjacent code blocks.

 3   Measure continuous similarity of adjacent blocks based on Levenshtein distance.
 

 

 1   Analyze code similarity using various methods such as text-based comparison, syntax component-based comparison, and hybrid approaches.

 2   Rapidly compute similarity across large volumes of source code using partial token sequence hash algorithms.

 3   Enable performance scalability through a structure optimized for parallel processing.

 4   Adopt a microservices architecture (MSA) suitable for cloud-based service delivery.