Semantic-enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse

Programmers who work with smart contract development often encounter challenges in reusing code from repositories. This is due to the presence of two unknowns that can lead non-functional and functional failures. These are implicit collaborations between functions subtle differences among similar functions. Current mining methods extract syntax semantic knowledge (known knowledge), but they cannot uncover these a significant gap known unknown. To address this issue, we formulate acquisition as deduction task propose an analytic flow uses function-clone bridge gradually deduce into problem-solving reveal unknowns. comprises five methods: clone detection, co-occurrence probability calculation, function usage frequency accumulation, description propagation, CFG annotation. provides systematic coherent approach deduction. We then structure all semantic-enriched Knowledge Graph (KG) integrate KG software engineering tasks: recommendation crowd-scaled coding practice checking. As proof concept, apply our 5,140 files available on Etherscan.io, confirm high accuracy construction steps. In experiments, effectively improved by 6% 45%, increased diversity 61% 102%, enhanced NDCG 1% 21%. Furthermore, compared traditional analysis tools debugging-with-the-crowd method, time efficiency 30-380 seconds, vulnerability determination 20%-33%, fixing 24%-40% for novice developers identified fixed vulnerable