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Symbolic execution is an SMT-based software verification and testing technique. Symbolic execution requires tracking performed computations during software simulation to reason about branches in the software under test. The prevailing…

Software Engineering · Computer Science 2025-05-27 Sören Tempel , Tobias Brandt , Christoph Lüth , Christian Dietrich , Rolf Drechsler

Static analysis is the analysis of a program without executing it, usually carried out by an automated tool. Symbolic execution is a popular static analysis technique used both in program verification and in bug detection software. It works…

Software Engineering · Computer Science 2024-08-06 Gabor Horvath , Reka Kovacs , Zoltan Porkolab

Semantic Web technologies offer the prospect of significantly reducing the amount of effort required to integrate existing enterprise functionality in support of new composite processes; whether within a given organization or across…

Software Engineering · Computer Science 2020-06-04 Jinghai Rao , Dimitar Dimitrov , Paul Hofmann , Norman Sadeh

Analyzing the behavior of a program running on a processor that supports speculative execution is crucial for applications such as execution time estimation and side channel detection. Unfortunately, existing static analysis techniques…

Programming Languages · Computer Science 2019-08-16 Meng Wu , Chao Wang

When solving data analysis problems it is important to integrate prior knowledge and/or structural invariances. This paper contributes by a novel framework for incorporating algebraic invariance structure into kernels. In particular, we…

Machine Learning · Statistics 2014-12-01 Franz J. Király , Andreas Ziehe , Klaus-Robert Müller

We present SymNet, a network static analysis tool based on symbolic execution. SymNet quickly analyzes networks by injecting symbolic packets and tracing their path through the network. Our key novelty is SEFL, a language we designed for…

Networking and Internet Architecture · Computer Science 2016-04-12 Radu Stoenescu , Matei Popovici , Lorina Negreanu , Costin Raiciu

In program verification, constraint-based random testing is a powerful technique which aims at generating random test cases that satisfy functional properties of a program. However, on recursive constrained data-structures (e.g., sorted…

Programming Languages · Computer Science 2022-08-29 Ghiles Ziat , Vincent Botbol , Matthieu Dien , Arnaud Gotlieb , Martin Pépin , Catherine Dubois

Existing computer algebra packages do not fully support quantum mechanics calculations in Dirac's notation. I present the foundation for building such support: a mathematical system for the symbolic manipulation of expressions used in the…

Quantum Physics · Physics 2008-09-26 J. J. Hudson

Discrete abstractions of continuous and hybrid systems have recently been the topic of great interest from both the control systems and the computer science communities, because they provide a sound mathematical framework for analysing and…

Optimization and Control · Mathematics 2010-06-16 Giordano Pola , Alessandro Borri , Maria D. Di Benedetto

The CEGAR loop in software model checking notoriously diverges when the abstraction refinement procedure does not derive a loop invariant. An abstraction refinement procedure based on an SMT solver is applied to a trace, i.e., a restricted…

Logic in Computer Science · Computer Science 2017-02-09 Marius Greitschus , Daniel Dietsch , Andreas Podelski

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…

Software Engineering · Computer Science 2024-06-28 Jan Haltermanna , Marie-Christine Jakobs , Cedric Richter , Heike Wehrheim

Timed Concurrent Constraint Programming (tcc) is a declarative model for concurrency offering a logic for specifying reactive systems, i.e. systems that continuously interact with the environment. The universal tcc formalism (utcc) is an…

Logic in Computer Science · Computer Science 2020-02-19 Moreno Falaschi , Carlos Olarte , Catuscia Palamidessi

Kernel-based tests provide a simple yet effective framework that use the theory of reproducing kernel Hilbert spaces to design non-parametric testing procedures. In this paper we propose new theoretical tools that can be used to study the…

Statistics Theory · Mathematics 2022-09-02 Tamara Fernández , Nicolás Rivera

Bounded model checking is among the most efficient techniques for the automatic verification of concurrent programs. However, encoding all possible interleavings often requires a huge and complex formula, which significantly limits the…

Programming Languages · Computer Science 2018-04-04 Liangze Yin , Wei Dong , Wanwei Liu , Ji Wang

Register-Transfer Level (RTL) synthesis and summarization are central to hardware design automation but remain challenging for Large Language Models (LLMs) due to rigid HDL syntax, limited supervision, and weak alignment with natural…

Computation and Language · Computer Science 2026-03-19 Prashanth Vijayaraghavan , Apoorva Nitsure , Luyao Shi , Charles Mackin , Ashutosh Jadhav , David Beymer , Ehsan Degan , Vandana Mukherjee

Language-model agent systems commonly rely on reactive prompting, in which a single instruction guides the model through an open-ended sequence of reasoning and tool-use steps, leaving control flow and intermediate state implicit and making…

Computation and Language · Computer Science 2026-04-16 Pengcheng Wang , Jerry Huang , Jiarui Yao , Rui Pan , Peizhi Niu , Yaowenqi Liu , Ruida Wang , Renhao Lu , Yuwei Guo , Tong Zhang

To put static program analysis at the fingertips of the software developer, we propose a framework for interactive abstract interpretation. While providing sound analysis results, abstract interpretation in general can be quite costly. To…

Programming Languages · Computer Science 2022-11-28 Julian Erhard , Simmo Saan , Sarah Tilscher , Michael Schwarz , Karoliine Holter , Vesal Vojdani , Helmut Seidl

Modern processors employ different prediction mechanisms to speculate over different kinds of instructions. Attackers can exploit these prediction mechanisms simultaneously in order to trigger leaks about speculatively-accessed data. Thus,…

Cryptography and Security · Computer Science 2022-09-05 Xaver Fabian , Marco Guarnieri , Marco Patrignani

Abstract semantics has proven to be instrumental for accelerating search-based program synthesis, by enabling the sound pruning of a set of incorrect programs (without enumerating them). One may expect faster synthesis with increasingly…

Programming Languages · Computer Science 2026-04-17 Rui Dong , Qingyue Wu , Danny Ding , Zheng Guo , Ruyi Ji , Xinyu Wang

This paper addresses the issue of specifying, simulating, and verifying reactive systems in rewriting logic. It presents an executable semantics for probabilistic, timed, and spatial concurrent constraint programming -- here called…

Logic in Computer Science · Computer Science 2022-11-04 Miguel Romero , Sergio Ramírez , Camilo Rocha , Frank Valencia