POPL 2024
Sun 14 - Sat 20 January 2024 London, United Kingdom
Tue 16 Jan 2024 12:00 - 12:20 at Marconi Room - Session 6: Abstract Interpretation Chair(s): Xavier Rival

Witnesses record automated program analysis results and make them exchangeable. To validate correctness witnesses through abstract interpretation, we introduce a novel abstract operation unassume. This operator incorporates witness invariants into the abstract program state. Given suitable invariants, the unassume operation can accelerate fixpoint convergence and yield more precise results. We demonstrate the feasibility of this approach by augmenting an abstract interpreter with unassume operators and evaluating the impact of incorporating witnesses on performance and precision. Using manually crafted witnesses, we can confirm verification results for multi-threaded programs with a reduction in effort ranging from 7% to 47% in CPU time. More intriguingly, we discover that using witnesses from model checkers can guide our analyzer to verify program properties that it could not verify on its own.

Tue 16 Jan

Displayed time zone: London change

11:00 - 12:30
Session 6: Abstract InterpretationVMCAI at Marconi Room
Chair(s): Xavier Rival Inria; ENS; CNRS; PSL University
11:00
20m
Talk
Formal Runtime Error Detection During Development in the Automotive Industry
VMCAI
Jesko Hecking-Harbusch Bosch Research, Jochen Quante Bosch Research, Maximilian Schlund Bosch Research
Pre-print
11:20
20m
Talk
Abstract Interpretation-Based Feature Importance for Support Vector Machines
VMCAI
Abhinandan Pal University of Birmingham, Francesco Ranzato University of Padova, Caterina Urban Inria & École Normale Supérieure | Université PSL, Marco Zanella University of Padova, Italy
11:40
20m
Talk
Generation of Violation Witnesses by Under-Approximating Abstract Interpretation
VMCAI
Marco Milanese Sorbonne University, Antoine Miné Sorbonne Université
DOI Pre-print
12:00
20m
Talk
Correctness Witness Validation by Abstract Interpretation
VMCAI
Simmo Saan University of Tartu, Estonia, Michael Schwarz Technische Universität München, Julian Erhard Technical University of Munich, Helmut Seidl Technische Universität München, Sarah Tilscher Technische Universität München, Vesal Vojdani University of Tartu
DOI Pre-print