Datenbestand vom 10. Dezember 2024
Verlag Dr. Hut GmbH Sternstr. 18 80538 München Tel: 0175 / 9263392 Mo - Fr, 9 - 12 Uhr
aktualisiert am 10. Dezember 2024
978-3-8439-2439-9, Reihe Informatik
Holger Siegel Numeric Inference of Heap Shapes for the Automated Analysis of Heap-Allocating Programs
141 Seiten, Dissertation Technische Universität München (2014), Hardcover, B5
This thesis presents a novel approach to the analysis of heap-allocating programs that is based solely on abstract numeric domains. In contrast to approaches that require the user to provide so-called instrumentation predicates, our analysis is geared towards the automatic inference of heap invariants. Using off-the-shelf relational numeric domains, we infer invariants that relate the shape of heap-allocated data structures to their numeric content. Our analysis is implemented as a stack of functor domains and is shown to be able to infer invariants that distinguish between lists, trees and arbitrary graphs, thereby allowing for the automatic verification of standard algorithms.