Set-Based Models for Cryptocurrency Software
This work targets the cryptocurrency community by suggesting incremental improvements to enhance software security, though it does not present new experimental results.
The paper addresses the challenge of writing secure smart contracts by proposing the application of formal methods to bridge the gap between current practices and high-assurance software, aiming to reduce bugs and improve reliability in cryptocurrency systems.
Emin Gün Sirer once said: It's clear that writing a robust, secure smart contract requires extreme amounts of diligence. It's more similar to writing code for a nuclear power reactor, than to writing loose web code [...] Yet the current Solidity language and underlying EVM seems designed more for the latter. Formal methods (FM) are mathematics-based software development methods aimed at producing "code for a nuclear power reactor". That is, due application of FM can produce bug-free, zero-defect, correct-by-construction, guaranteed, certified software. However, the software industry seldom use FM. One of the main reasons for such a situation is that there exists the perception (which might well be a fact) that FM increase software costs. On the other hand, FM can be partially applied thus producing high-quality software, although not necessarily bug-free. In this paper we outline some FM related techniques whose application the cryptocurrency community should take into consideration because they could bridge the gap between "loose web code" and "code for a nuclear power reactor".