Ensuring reliability and security in decentralized systems—especially those powered by smart contracts—remains a formidable challenge. Traditional software testing methodologies often fall short when facing the unique combination of concurrency, statefulness, and adversarial exposure inherent to blockchain ecosystems. Meanwhile, the domain of software reliability and fuzzing has matured significantly, offering proven techniques for uncovering obscure bugs, buffer overflows, and protocol mis‑implementations. This article proposes a comprehensive, unified framework—SecureFuzz‑Smart—that synthesizes insights from traditional system reliability studies, microservices testing patterns, and domain‑specific smart contract fuzzing. We analyze prominent real-world failures in blockchain systems (e.g., the events described in Finley (2016) and Town (2025)) as motivating case studies, review foundational research on UNIX reliability (Miller et al., 1990), modern fuzzing techniques (Manès et al., 2021; Fioraldi et al., 2020; Sutton & Greene, 2005), interface‑aware kernel fuzzing (Corina et al., 2017), protocol‑state fuzzing (Ruiter & Poll, 2015), and contract‑specific fuzzers like ContractFuzzer (Jiang et al., 2018). We further draw parallels to microservice reliability research (Bird et al., 2011; Baresi & Garriga, 2020; André, 2018; Clemson, 2014) and contract testing practices (Kesarpu, 2025). Through a detailed methodological design and hypothetical deployment, we show how SecureFuzz‑Smart could systematically reduce vulnerability exposure in smart contract ecosystems, increase coverage across stateful behaviors, and complement existing smart contract auditing approaches. Limitations, potential counter‑arguments, and future research directions are discussed. Our analysis argues that adopting a multidisciplinary approach—combining fuzzing, service‑oriented architecture testing strategies, and contract‑specific tooling—offers a pragmatic pathway toward significantly improving smart contract robustness and trustworthiness.

Smart Contracts, Fuzzing, Software Reliability

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