An Automated Architecture for Smart Contract Testing: A Multi-Objective CI/CD Pipeline Optimized for Speed and Gas Efficiency

Immutable code and steep transaction fees make smart contract deployment uniquely unforgiving. While continuous integration (CI/CD) pipelines excel at catching standard software bugs, applying exhaustive security tests to Web3 applications severely bottlenecks development through massive computational overhead and gas consumption. This paper presents a testing architecture designed specifically to resolve this tension between security depth and execution speed. The system pipelines three core engines. First, an AI-driven pre-execution gate flags immediate vulnerabilities. Next, a structural reduction module applies the k + 1 symmetric pattern to strip out redundant test permutations. Finally, the system constrains the remaining test suite using the NSGA-II evolutionary algorithm. This multi-objective optimizer dynamically schedules execution to maximize fault detection against strict, predefined gas budgets. To evaluate the model empirically, I bridged a localized EVM sandbox with a Python optimization engine. Results confirm the framework collapses exponential test generation and throttlesexecution costs without sacrificing critical security coverage. Ultimately, it offers a highly scalable path forward for modern DevSecOps.