TLA+ 的建模与实现痛点
问题概述
用户指出 TLA+ 在建模原子操作、弱内存语义以及从形式规格到实际实现的转换过程中存在显著困难，且其语法和 PlusCal DSL 增加了学习成本，同时正式方法难以验证硬件侧信道等问题。
痛点标签
- 建模原子和弱内存语义困难
- 需要显式逻辑处理非顺序一致性
- 语法复杂且依赖 PlusCal DSL
- 从规格到实现的转换易出错
- 正式方法难以验证硬件侧信道
待验证问题
- 您是否在实际项目中遇到过 TLA+ 建模原子/弱内存语义的困难？
- 您是否发现从 TLA+ 规格转化为实际代码时出现错误或性能问题？
- 您是否需要验证硬件侧信道，而现有 formal methods 无法覆盖？
证据
原话 · @Anonymous
TLA+ isn't great at modeling atomics and in particular weak-memory semantics or anything that's not sequentially consistent. If you translate your algorithm to pcal, it will run as if it was sequentially consistent. If you need to model non-sequential-consistency, then that needs to be spelled out with explicit logic to TLA+, which is probably too complicated and error-prone to do by hand.
原话 · @Anonymous
optimizing the code to meet performance thresholds was at times frustrating and time-consuming, like any low-level implementation with a new tool/language for us.
原话 · @Anonymous
IMO TLA+ is not very good. It has super weird syntax, and a whole separate DSL (PlusCal) to give it workable syntax for programs.
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