Path-guided conformance test case generation for models with data and time using symbolic execution techniques

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

Science of Computer Programming Pub Date : 2025-02-20 DOI:10.1016/j.scico.2025.103285

Boutheina Bannour , Arnault Lapitre , Pascale Le Gall

引用次数: 0

Abstract

This paper presents an approach leveraging symbolic execution techniques to generate test cases from models mixing data and time. Our methodology focuses on symbolic paths, satisfying a trace-determinism property, which allows testing behaviors in the presence of uninitialized state variables. We construct tree-like test cases around these test purposes, with verdicts on their leaves, meticulously crafting verdict conditions from symbolic execution path conditions encoding temporal data-dependent constraints. Our test case generation is implemented within the symbolic execution platform Diversity. Through experiments, we provide metrics and quantify some aspects of the generated test cases, including the reachability of verdicts within observation time frames specified by the tester.

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使用符号执行技术为具有数据和时间的模型生成路径引导的一致性测试用例

本文提出了一种利用符号执行技术从混合数据和时间的模型中生成测试用例的方法。我们的方法侧重于符号路径，满足跟踪确定性属性，允许在未初始化状态变量存在的情况下测试行为。我们围绕这些测试目的构建树状的测试用例，在它们的叶子上放置判决，从编码时间数据相关约束的符号执行路径条件精心制作判决条件。我们的测试用例生成是在符号执行平台Diversity中实现的。通过实验，我们提供度量并量化生成的测试用例的某些方面，包括在测试人员指定的观察时间框架内判定的可达性。

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.