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P2 AlloyMax: bringing maximum satisfaction to relational specifications

AlloyMax:为关系规范带来最大满足
FSE Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering2021匹配度 2/10 · 该论文属于形式化方法与关系逻辑/约束求解,虽与形式化验证相邻,但未涉及 LLM/Agent、面向 ML/Agentic 程序的静态分析、浮点程序分析或贝叶斯程序分析等用户画像的核心交叉方向。引用 10 inbox
Changjian Zhang, Ryan Wagner, Pedro Orvalho, David Garlan, Vasco Manquinho, Ruben Martins, Eunsuk Kang
crossref: 2026-09-12

AI 速览

一句话:提出 AlloyMax,将最大满足/优化目标引入 Alloy 关系规范,使 SAT 无法处理的最优解分析成为可能。

Alloy 是基于一阶关系逻辑的声明式建模语言,其基于 SAT 的约束分析已用于配置合成、缺陷发现、测试生成和安全分析等任务。这些场景中的部分分析需要寻找最优解,例如网络配置问题希望得到允许最多数据包的最宽松配置,而不仅是任意有效配置。由于 Alloy 依赖 SAT,它无法直接指定和分析此类优化问题。论文提出 AlloyMax,旨在将最大满足引入关系规范,使用户能够在 Alloy 中表达并求解这类最优解问题。摘要未给出具体实现与实验评估细节。

问题
Alloy 基于 SAT,只能分析约束是否可满足,无法表达和求解某些需要最优解的关系建模任务,如寻找最宽松的网络配置。
方法
提出 AlloyMax,在 Alloy 的关系规范中引入最大满足/优化目标,以支持最优解的指定与分析。
评估
摘要未描述具体评估方式或实验结果,仅说明其面向配置合成、缺陷发现、测试生成和安全分析等应用场景。
原文摘要(Abstract)

Alloy is a declarative modeling language based on a first-order relational logic. Its constraint-based analysis has enabled a wide range of applications in software engineering, including configuration synthesis, bug finding, test-case generation, and security analysis. Certain types of analysis tasks in these domains involve finding an optimal solution. For example, in a network configuration problem, instead of finding any valid configuration, it may be desirable to find one that is most permissive (i.e., it permits a maximum number of packets). Due to its dependence on SAT, however, Alloy cannot be used to specify and analyze these types of problems.

链接与引用

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BibTeX
@inproceedings{paperbot6398,
  title = {AlloyMax: bringing maximum satisfaction to relational specifications},
  author = {Changjian Zhang and Ryan Wagner and Pedro Orvalho and David Garlan and Vasco Manquinho and Ruben Martins and Eunsuk Kang},
  booktitle = {FSE},
  year = {2021},
  doi = {10.1145/3468264.3468587}
}