PC-TRT: A Test Case Reuse and generation Tool to achieve high path coverage for Unit Test

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-10-04 DOI:10.1016/j.softx.2024.101918

Zhonghao Guo, Sinong Chen, Xinyue Xu, Xiangxian Chen

引用次数: 0

Abstract

After software or program updates, it is crucial to establish a new set of test cases. Reusing parts of the old test case set in unit testing is a cost-effective, efficient, and common approach. However, only a few commercial software are utilized for this purpose, and their techniques for reusing test cases are not publicly available. PC-TRT is a test case reuse tool primarily designed for software and programs written in the C language. PC-TRT reuses test cases from historical program versions and generates test data for uncovered paths, resulting in a high path coverage test case set. Its key functions include analyzing test case path coverage information, selecting reusable cases from old test case sets based on path similarity, and generating test data for uncovered paths. PC-TRT significantly improves both the efficiency and reliability of software testing.

查看原文本刊更多论文

PC-TRT：实现单元测试高路径覆盖率的测试用例重用和生成工具

软件或程序更新后，建立一套新的测试用例至关重要。在单元测试中重复使用旧测试用例集的部分内容是一种经济、高效和常见的方法。然而，只有少数商业软件可用于此目的，而且它们的测试用例重用技术并不公开。PC-TRT 是一种测试用例重用工具，主要针对用 C 语言编写的软件和程序。PC-TRT 可重用历史程序版本中的测试用例，并为未覆盖的路径生成测试数据，从而生成高路径覆盖率的测试用例集。其主要功能包括分析测试用例路径覆盖信息、根据路径相似性从旧测试用例集中选择可重复使用的案例，以及为未覆盖路径生成测试数据。PC-TRT 大大提高了软件测试的效率和可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.