Transformations for Verifying Programs with Heap-Allocated Data Structures

Verifying programs that manipulate heap-allocated data structures is a long-standing challenge in software verification. This thesis summarises a series of five papers that advance the state of the art in automated verification of such programs through transformation-based approaches. The contributions include the development of a formal SMT-LIB theory of heaps to represent heap operations, the implementation of this theory in an automated verification tool for C programs, and novel invariant-based encodings that simplify reasoning about heap structures. The thesis further presents methods for automatically instrumenting programs to simplify verification tasks involving quantified properties and aggregations. All proposed techniques are fully automated and do not rely on user-provided annotations, enabling verification of heap-manipulating programs with quantified invariants that previously posed significant challenges to automated verification tools.

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
Logic, programming, and type systems
Type
article
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article

Transformations for Verifying Programs with Heap-Allocated Data Structures

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Logic, programming, and type systems
article

Transformations for Verifying Programs with Heap-Allocated Data Structures

article en

Abstract

Verifying programs that manipulate heap-allocated data structures is a long-standing challenge in software verification. This thesis summarises a series of five papers that advance the state of the art in automated verification of such programs through transformation-based approaches. The contributions include the development of a formal SMT-LIB theory of heaps to represent heap operations, the implementation of this theory in an automated verification tool for C programs, and novel invariant-based encodings that simplify reasoning about heap structures. The thesis further presents methods for automatically instrumenting programs to simplify verification tasks involving quantified properties and aggregations. All proposed techniques are fully automated and do not rely on user-provided annotations, enabling verification of heap-manipulating programs with quantified invariants that previously posed significant challenges to automated verification tools.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Openalex Percentile: Top 72%
Logic, programming, and type systems
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