There is a noticeable increase in interest surrounding software verification and formal methods, as indicated by trends like rising Google searches, new specification languages, and projects aiming for end-to-end verification. This resurgence contrasts with its historical perception as a niche or impractical field.
The primary driver for this renewed excitement is the emergence of AI coding. AI-generated code introduces a gap in human understanding of program correctness, necessitating alternative assurance methods. Additionally, AI tools are making the verification process itself faster and more accessible for integration into real-world software development workflows. If program writing becomes highly efficient through AI, future gains in software development will likely focus on correctness assurance.
In this context of growing adoption, the article revisits a classic 1979 paper, "Social Processes and Proofs of Theorems and Programs," which argued against formal verification. The authors of that paper stated that program verification was "bound to fail" and would not affect confidence in programs.
The analysis intends to review the arguments presented in the 1979 paper to determine if recent developments, particularly in AI and formal methods, invalidate them. This exercise is presented as a thought experiment, acknowledging that the original paper focused on full verification and that widespread adoption of verification in general software engineering is still an emerging trend.
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The article re-examines a 1979 paper that argued against formal verification, contrasting its points with current trends showing increased interest in verification methods, driven largely by AI coding. This analysis explores whether the original arguments remain valid in the context of modern software development and AI's influence.