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A Systematic Mapping Study on Current Research Topics in Smart Contracts

, and . International Journal of Computer Science and Information Technology (IJCSIT), 9 (5): 151 - 164 (October 2017)
DOI: 10.5121/ijcsit.2017.9511

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Fitting and Regression for Distributions of Ethereum Smart Contracts., and . BRAINS, page 248-255. IEEE, (2020)BlockSim: An Extensible Simulation Tool for Blockchain Systems., and . CoRR, (2020)BLOCKCHAIN-BASED SMART CONTRACTS : A SYSTEMATIC MAPPING STUDY, and . Computer Science & Information Technology (CS & IT), 7 (10): 1-16 (August 2017)Context-based consensus for appendable-block blockchains., , , , , and . Blockchain, page 401-408. IEEE, (2020)Performance Benchmarking for Ethereum Opcodes., , and . AICCSA, page 1-2. IEEE Computer Society, (2018)A Systematic Mapping Study on Current Research Topics in Smart Contracts, and . International Journal of Computer Science and Information Technology (IJCSIT), 9 (5): 151 - 164 (October 2017)A dynamic block reward approach to improve the performance of blockchain systems.. PeerJ Comput. Sci., (2023)The OpBench Ethereum opcode benchmark framework: Design, implementation, validation and experiments., , , and . Perform. Evaluation, (2021)OpBench: A CPU Performance Benchmark for Ethereum Smart Contract Operation Code., , , and . Blockchain, page 274-281. IEEE, (2019)Data-Driven Model-Based Analysis of the Ethereum Verifier's Dilemma., , , and . DSN, page 209-220. IEEE, (2020)