Semantic-based Code Intelligence for Smart Contracts

This thesis makes original contributions to knowledge in the field of code intelligence for smart contracts by proposing a novel semantic bytecode-based approach for the classification of smart contracts, a fine-grained approach for the generation of smart contract comments, a novel approach for the summarization of smart contracts, and a transfer learning approach between code summarization models.<p></p>