Parallel program analysis on path ranges

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2024-05-31 DOI:10.1016/j.scico.2024.103154

Jan Haltermann , Marie-Christine Jakobs , Cedric Richter , Heike Wehrheim

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引用次数: 0

Abstract

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 parallelism, verification is accelerated and hence scales to larger programs.

In this paper, we discuss a generalization of ranged symbolic execution to arbitrary program analyses. More specifically, we present a verification approach that splits programs into path ranges and then runs arbitrary analyses on the ranges in parallel. Our approach in particular allows to run different analyses on different program parts. We have implemented this generalization on top of the tool CPAchecker and evaluated it on programs from the SV-COMP benchmark. Our evaluation shows that verification can benefit from the parallelization of the verification task, but also needs a form of work stealing (between analyses) to become efficient.

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路径范围上的并行程序分析

符号执行是一种软件验证技术，它以符号方式运行程序，从而检查错误。范围符号执行对程序部分（即所谓的路径范围）进行并行符号执行。在本文中，我们讨论了范围符号执行对任意程序分析的推广。更具体地说，我们提出了一种验证方法，它将程序分割成路径范围，然后并行运行路径范围上的任意分析。我们的方法尤其允许在不同的程序部分运行不同的分析。我们在工具 CPAchecker 的基础上实现了这种通用方法，并在 SV-COMP 基准程序上对其进行了评估。我们的评估结果表明，验证任务的并行化可以使验证工作受益，但也需要一种形式的工作窃取（在分析之间）才能提高效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.