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Quantum symbolic execution

open access: yesQuantum Information Processing, 2023
With advances in quantum computing, researchers can now write and run many quantum programs. However, there is still a lack of effective methods for debugging quantum programs. In this paper, quantum symbolic execution (QSE) is proposed to generate test cases, which helps to finding bugs in quantum programs.
Jiang Nan, Wang Zichen, Wang Jian
openaire   +2 more sources

Safe Neurosymbolic Learning with Differentiable Symbolic Execution [PDF]

open access: yesInternational Conference on Learning Representations, 2022
We study the problem of learning worst-case-safe parameters for programs that use neural networks as well as symbolic, human-written code. Such neurosymbolic programs arise in many safety-critical domains.
Chenxi Yang, Swarat Chaudhuri
semanticscholar   +1 more source

SymGX: Detecting Cross-boundary Pointer Vulnerabilities of SGX Applications via Static Symbolic Execution

open access: yesConference on Computer and Communications Security, 2023
Intel Security Guard Extensions (SGX) have shown effectiveness in critical data protection. Recent symbolic execution-based techniques reveal that SGX applications are susceptible to memory corruption vulnerabilities.
Yuanpeng Wang   +8 more
semanticscholar   +1 more source

EtWExplorer: Multi-Priority Scheduling Path Exploration Technology Based on Abstract Syntax Tree Analysis

open access: yesApplied Sciences, 2022
Symbolic execution is well known as a dynamic vulnerability discovery technique. Its greatest advantage is the capability to analyze the execution information of the program and to explore the path in the program deterministically.
Xinglu He, Pengfei Wang, Kai Lu, Xu Zhou
doaj   +1 more source

SENinja: A symbolic execution plugin for Binary Ninja

open access: yesSoftwareX, 2022
Symbolic execution is a program analysis technique that aims to automatically identify interesting inputs for an application, using them to generate program executions covering different parts of the code.
Luca Borzacchiello   +2 more
doaj   +1 more source

Mutation‐inspired symbolic execution for software testing

open access: yesIET Software, 2022
Software testing is a complex and costly stage during the software development lifecycle. Nowadays, there is a wide variety of solutions to reduce testing costs and improve test quality. Focussing on test case generation, Dynamic Symbolic Execution (DSE)
Kevin J. Valle‐Gómez   +3 more
doaj   +1 more source

SymQEMU: Compilation-based symbolic execution for binaries

open access: yesNetwork and Distributed System Security Symposium, 2021
—Symbolic execution is a powerful technique for software analysis and bug detection. Compilation-based symbolic execution is a recently proposed flavor that has been shown to improve the performance of symbolic execution significantly when source code is ...
Sebastian Poeplau, Aurélien Francillon
semanticscholar   +1 more source

Metrics for code obfuscation based on symbolic execution and N-scope complexity

open access: yes网络与信息安全学报, 2022
Code obfuscation has been well developed as mitigated endogenous security technology, to effectively resist MATE attacks (e.g.reverse engineering).And it also has important value for the reasonable metrics of code obfuscation effect.Since symbolic ...
Yuqiang XIAO, Yunfei GUO, Yawen WANG
doaj   +3 more sources

Symbolic Execution for JavaScript [PDF]

open access: yesProceedings of the 20th International Symposium on Principles and Practice of Declarative Programming, 2018
We present a framework for trustworthy symbolic execution of JavaScripts programs, whose aim is to assist developers in the testing of their code: the developer writes symbolic tests for which the framework provides concrete counter-models. We create the framework following a new, general methodology for designing compositional program analyses for ...
Faustino Fragoso Femenin Dos Santos, J   +4 more
openaire   +2 more sources

Speculative Symbolic Execution [PDF]

open access: yes2012 IEEE 23rd International Symposium on Software Reliability Engineering, 2012
14 pages, 15 ...
Zhang, Yufeng, Chen, Zhenbang, Wang, Ji
openaire   +2 more sources

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