Blockchain-based Smart Contracts: A Systematic Mapping Study
Not on the map. Why?
Abstract (arXiv)
An appealing feature of blockchain technology is smart contracts. A smart contract is executable code that runs on top of the blockchain to facilitate, execute and enforce an agreement between untrusted parties without the involvement of a trusted third party. In this paper, we conduct a systematic mapping study to collect all research that is relevant to smart contracts from a technical perspective. The aim of doing so is to identify current research topics and open challenges for future studies in smart contract research. We extract 24 papers from different scientific databases. The results show that about two thirds of the papers focus on identifying and tackling smart contract issues. Four key issues are identified, namely, codifying, security, privacy and performance issues. The rest of the papers focuses on smart contract applications or other smart contract related topics. Research gaps that need to be addressed in future studies are provided.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Oct 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 4.
5 papers.
- 2024Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanationcited by 8
- 2025LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networkscited by 7
- 2025Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detectioncited by 7
- 2025SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detectioncited by 2
- 2025Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimizationcited by 1
- 2025Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization12 Sep 2025
- 2025SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection30 Jul 2025
- 2025Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection23 Jun 2025
- 2025LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks13 Jan 2025
- 2024Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation9 Nov 2024