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We present an algorithm for tests generation tools based on symbolic execution. The algorithm is supposed to help in situations, when a tool is repeatedly failing to cover some code by tests. The algorithm then provides the tool a necessary…

符号计算 · 计算机科学 2011-12-21 Marek Trtík

Many security and software testing applications require checking whether certain properties of a program hold for any possible usage scenario. For instance, a tool for identifying software vulnerabilities may need to rule out the existence…

软件工程 · 计算机科学 2018-05-03 Roberto Baldoni , Emilio Coppa , Daniele Cono D'Elia , Camil Demetrescu , Irene Finocchi

Scientific software is, by its very nature, complex. It is mathematical and highly optimized which makes it prone to subtle bugs not as easily detected by traditional testing. We outline how symbolic execution can be used to write tests…

软件工程 · 计算机科学 2025-10-16 Alexander C. Wilton

Symbolic Execution is a formal method that can be used to verify the behavior of computer programs and detect software vulnerabilities. Compared to other testing methods such as fuzzing, Symbolic Execution has the advantage of providing…

密码学与安全 · 计算机科学 2025-09-29 Christopher Scherb , Luc Bryan Heitz , Hermann Grieder , Olivier Mattmann

This article discusses a new technique to automatically generate test cases for object oriented programs. At the state of the art, the problem of generating adequate sets of complete test cases has not been satisfactorily solved yet. There…

软件工程 · 计算机科学 2020-05-20 Matteo Modonato

In this paper we study possibilities of using hierarchical reasoning, symbol elimination and model generation for the verification of parametric systems, where the parameters can be constants or functions. Our goal is to automatically…

计算机科学中的逻辑 · 计算机科学 2019-10-14 Viorica Sofronie-Stokkermans

Symbolic execution is a software verification technique symbolically running programs and thereby checking for bugs. Ranged symbolic execution performs symbolic execution on program parts, so called path ranges, in parallel. Due to the…

软件工程 · 计算机科学 2024-06-28 Jan Haltermanna , Marie-Christine Jakobs , Cedric Richter , Heike Wehrheim

One of the problems of formal verification is that it is not functionally complete due the incompleteness of specifications. An implementation meeting an incomplete specification may still have a lot of bugs. In testing, this issue is…

计算机科学中的逻辑 · 计算机科学 2020-10-14 Eugene Goldberg

Consider the problem of verifying security properties of a cryptographic protocol coded in C. We propose an automatic solution that needs neither a pre-existing protocol description nor manual annotation of source code. First, symbolically…

密码学与安全 · 计算机科学 2011-07-07 Mihhail Aizatulin , Andrew D. Gordon , Jan Jürjens

Verification proofs encode complete program behavior, yet we discard them after checking correctness. We present compiling by proving, a paradigm that transforms these proofs into optimized execution rules. By constructing All-Path…

编程语言 · 计算机科学 2025-09-29 Jianhong Zhao , Everett Hildenbrandt , Juan Conejero , Yongwang Zhao

Symbolic execution is a powerful program analysis technique that allows for the systematic exploration of all program paths. Path explosion, where the number of states to track becomes unwieldy, is one of the biggest challenges hindering…

密码学与安全 · 计算机科学 2025-08-12 Joshua Bailey , Charles Nicholas

Symbolic execution is a powerful technique for bug finding and program testing. It is successful in finding bugs in real-world code. The core reasoning techniques use constraint solving, path exploration, and search, which are also the same…

软件工程 · 计算机科学 2020-07-20 Sahil Verma , Roland H. C. Yap

We present a framework for symbolically executing and model checking higher-order programs with external (open) methods. We focus on the client-library paradigm and in particular we aim to check libraries with respect to any definable…

编程语言 · 计算机科学 2020-02-24 Yu-Yang Lin , Nikos Tzevelekos

Formal verification provides mathematical guarantees that a software is correct. Design-level verification tools ensure software specifications are correct, but they do not expose defects in actual implementations. For this purpose,…

软件工程 · 计算机科学 2025-05-01 Paschal C. Amusuo , Parth V. Patil , Owen Cochell , Taylor Le Lievre , James C. Davis

In permission logics such as separation logic, the iterated separating conjunction is a quantifier denoting access permission to an unbounded set of heap locations. In contrast to recursive predicates, iterated separating conjunctions do…

编程语言 · 计算机科学 2016-05-09 Peter Müller , Malte Schwerhoff , Alexander J. Summers

We propose a symbolic execution method for programs that can draw random samples. In contrast to existing work, our method can verify randomized programs with unknown inputs and can prove probabilistic properties that universally quantify…

编程语言 · 计算机科学 2022-09-19 Zachary Susag , Sumit Lahiri , Justin Hsu , Subhajit Roy

Ensuring the correct functionality of systems software, given its safety-critical and low-level nature, is a primary focus in formal verification research and applications. Despite advances in verification tooling, conventional programmers…

In deductive verification and software model checking, dealing with certain specification language constructs can be problematic when the back-end solver is not sufficiently powerful or lacks the required theories. One way to deal with this…

计算机科学中的逻辑 · 计算机科学 2024-12-10 Jesper Amilon , Zafer Esen , Dilian Gurov , Christian Lidström , Philipp Rümmer , Marten Voorberg

Concurrent objects form the foundation of many applications that exploit multicore architectures and their importance has lead to informal correctness arguments, as well as formal proof systems. Correctness arguments (as found in the…

编程语言 · 计算机科学 2024-10-18 Constantin Enea , Eric Koskinen

The combination of uninterpreted function symbols and universal quantification occurs in many applications of automated reasoning, for example, due to their ability to reason about arrays. Yet the satisfiability of such formulas is, in…

计算机科学中的逻辑 · 计算机科学 2026-02-19 Stefan Ratschan , Anggha Nugraha , Mikoláš Janota , Marek Dančo
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