Arrow Research search
Back to LPAR

LPAR 2017

Quantified Heap Invariants for Object-Oriented Programs

Conference Paper Accepted Paper Artificial Intelligence · Logic in Computer Science

Abstract

Heap and data structures represent one of the biggest challenges when applying model checking to the analysis of software programs: in order to verify (unbounded) safety of a program, it is typically necessary to formulate quantified inductive invariants that state properties about an unbounded number of heap locations. Methods like Craig interpolation, which are commonly used to infer invariants in model checking, are often ineffective when a heap is involved. To address this challenge, we introduce a set of new proof and program transformation rules for verifying object-oriented programs with the help of space invariants, which (implicitly) give rise to quantified invariants. Leveraging advances in Horn solving, we show how space invariants can be derived fully automatically, and how the framework can be used to effectively verify safety of Java programs.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Archive span
1992-2024
Indexed papers
780
Paper id
1092326848994753843
v2026.09.13