Domain-independent interprocedural program analysis using block-abstraction memoization

Beyer, Dirk; Friedberger, Karlheinz

doi:10.1145/3368089.3409718

Cited by 4 publications

(7 citation statements)

References 55 publications

(70 reference statements)

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“…• The st metric considers each statement equally and is widely used in model checking or symbolic execution [9]- [11]. search space separately, e.g., block-abstraction memoization [5], [6]. We define each metric as a control-flow edge (i.e., statement) weight according to their operation.…”

Section: ) Distance Metricsmentioning

confidence: 99%

“…We implemented TOUR in a form integrated into two stateof-the-art ARMC techniques, i.e., lazy abstraction and blockabstraction memoization. By applying TOUR on the most widely used optimization method, i.e., lazy abstraction [3], [6], [11], [14]- [18], we investigate whether TOUR is generally effective in speeding up ARMC. We also investigate whether TOUR improves the practical performance of ARMC for practitioners.…”

Section: B Techniques To Comparementioning

confidence: 99%

“…We also investigate whether TOUR improves the practical performance of ARMC for practitioners. Thus, we investigate how much TOUR improves the bug detection ability and saves the model checking time of a current state-of-the-art ARMC technique, i.e., block-abstraction memoization [6].…”

Section: B Techniques To Comparementioning

confidence: 99%

“…Abstract Reachability-based Model Checking (ARMC) techniques verify whether a program can reach an error location (i.e., reachability) in an abstraction of the program to mitigate the state-explosion problem [1]- [3]. Although many studies reduce the ARMC model checking time [2]- [5], time-outs are the reason for 75% (772 out of 1,031) of cases where the state-of-the-art ARMC technique [6], combining their benefits, fails to verify in our preliminary experiment on realworld C programs.…”

Section: Introductionmentioning

confidence: 99%

“…1) TOUR is the first error location directed search that speed up ARMC: TOUR is the first approach that applies an error location directed search to ARMC for fast target path exploration on an interprocedural program, which improves bug detection ability and verification speed. We successfully apply TOUR to two existing ARMC techniques Block-Abstraction Memoization for interprocedural program analysis (BAM) [6] and Lazy Abstraction (LA) [8]. 2) TOUR improves ARMC's bug detection ability: BAM using TOUR finds bugs in 20% more programs within 11% less total CPU-time for 354 real-world buggy C programs.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Directed Model Checking for Fast Abstract Reachability Analysis

Lee

Kim

et al. 2021

IEEE Access

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We propose a novel technique (TOUR) to improve both bug detection ability and verification speed of ARMC by detecting a target path quickly. The key idea of TOUR is an error location directed search that utilizes the distance to an error location and function call context at runtime. TOUR applies four different distance metrics and a distance metric selection heuristic using static features of a target program. We have extensively evaluated TOUR on 3,042 real-world C programs in a software verification competition benchmark. The experiment results show that TOUR, due to its error location directed search, finds bugs in 20% more programs in 11% less model checking time than the state-of-the-art ARMC technique (i.e., block-abstraction memoization) for 354 buggy programs. Also, TOUR verifies 15% more programs within 15% less model checking time than the block-abstraction memoization for 652 complex clean programs.

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Section: ) Distance Metricsmentioning

confidence: 99%

Section: B Techniques To Comparementioning

confidence: 99%

Section: B Techniques To Comparementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Directed Model Checking for Fast Abstract Reachability Analysis

Lee

Kim

et al. 2021

IEEE Access

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Efficient Modular SMT-Based Model Checking of Pointer Programs

2022

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Software Verification with CPAchecker 3.0: Tutorial and User Guide

Baier,

Beyer,

Chien

et al. 2024

Lecture Notes in Computer Science

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This tutorial provides an introduction to CPAchecker for users. CPAchecker is a flexible and configurable framework for software verification and testing. The framework provides many abstract domains, such as BDDs, explicit values, intervals, memory graphs, and predicates, and many program-analysis and model-checking algorithms, such as abstract interpretation, bounded model checking, Impact, interpolation-based model checking, k-induction, PDR, predicate abstraction, and symbolic execution. This tutorial presents basic use cases for CPAchecker in formal software verification, focusing on its main verification techniques with their strengths and weaknesses. An extended version also shows further use cases of CPAchecker for test-case generation and witness-based result validation. The envisioned readers are assumed to possess a background in automatic formal verification and program analysis, but prior knowledge of CPAchecker is not required. This tutorial and user guide is based on CPAchecker in version 3.0. This user guide’s latest version and other documentation are available at https://cpachecker.sosy-lab.org/doc.php.

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Domain-independent interprocedural program analysis using block-abstraction memoization

Cited by 4 publications

References 55 publications

Directed Model Checking for Fast Abstract Reachability Analysis

Directed Model Checking for Fast Abstract Reachability Analysis

Efficient Modular SMT-Based Model Checking of Pointer Programs

Software Verification with CPAchecker 3.0: Tutorial and User Guide

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