We introduce the abstract domain of correlations to denote equality relations between parts of inputs and outputs of programs. We formalise the theory of correlations, and mechanically verify their semantic properties. We design a static inter-procedural dataflow analysis for automatically inferring correlations for programs written in a first-order language equipped with algebraic data-types and arrays. The analysis, its precision and execution cost, have been evaluated on the code and functional specification of an industrial-size micro-kernel. We exploit the inferred correlations to automatically discharge two thirds of the proof obligations related to the preservation of invariants for this micro-kernel.
Slides (popl19_talk.pdf) | 553KiB |
Fri 18 JanDisplayed time zone: Belfast change
Fri 18 Jan
Displayed time zone: Belfast change
15:21 - 16:27 | |||
15:21 22mTalk | Decidable Verification of Uninterpreted Programs Research Papers Umang Mathur University of Illinois at Urbana-Champaign, P. Madhusudan University of Illinois at Urbana-Champaign, Mahesh Viswanathan University of Illinois at Urbana-Champaign Link to publication DOI Pre-print Media Attached File Attached | ||
15:43 22mTalk | Inferring Frame Conditions with Static Correlation Analysis Research Papers Oana-Fabiana Andreescu Internet of Trust, Thomas P. Jensen INRIA Rennes, Stéphane Lescuyer Prove & Run, Benoît Montagu Prove & Run Link to publication DOI Pre-print Media Attached File Attached | ||
16:05 22mTalk | Context-, Flow- and Field-Sensitive Data-Flow Analysis using Synchronized Pushdown SystemsDistinguished Paper Research Papers Johannes Späth Fraunhofer IEM, Karim Ali University of Alberta, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM Link to publication DOI Pre-print Media Attached File Attached |