Abstract Contract Synthesis and Verification in the Symbolic 𝕂 Framework

Author:

Alpuente María1,Pardo Daniel2,Villanueva Alicia3

Affiliation:

1. VRAIN, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain. alpuente@upv.es

2. DSIC, Universitat Politècnica de València, Valencia, Spain. daparpon@dsic.upv.es

3. VRAIN, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain. alvilga1@upv.es

Abstract

In this article, we propose a symbolic technique that can be used for automatically inferring software contracts from programs that are written in a non-trivial fragment of C, called KERNELC, that supports pointer-based structures and heap manipulation. Starting from the semantic definition of KERNELC in the 𝕂 semantic framework, we enrich the symbolic execution facilities recently provided by 𝕂 with novel capabilities for contract synthesis that are based on abstract subsumption. Roughly speaking, we define an abstract symbolic technique that axiomatically explains the execution of any (modifier) C function by using other (observer) routines in the same program. We implemented our technique in the automated tool KINDSPEC 2.1, which generates logical axioms that express pre- and post-condition assertions which define the precise input/output behavior of the C routines. Thanks to the integrated support for symbolic execution and deductive verification provided by 𝕂, some synthesized axioms that cannot be guaranteed to be correct by construction due to abstraction can finally be verified in our setting with little effort.

Publisher

IOS Press

Subject

Computational Theory and Mathematics,Information Systems,Algebra and Number Theory,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Synthesis of Software Contracts with KindSpec;Analysis, Verification and Transformation for Declarative Programming and Intelligent Systems;2023

2. An Active Learning Approach to Synthesizing Program Contracts;Software Engineering and Formal Methods;2023

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