Software Test Case Generation Tools and Techniques: A Review

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
A. Verma, Ankur Choudhary, S. Tiwari
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引用次数: 0

Abstract

Software Industry is evolving at a very fast pace since last two decades. Many software developments, testing and test case generation approaches have evolved in last two decades to deliver quality products and services. Testing plays a vital role to ensure the quality and reliability of software products. In this paper authors attempted to conduct a systematic study of testing tools and techniques. Six most popular e-resources called IEEE, Springer, Association for Computing Machinery (ACM), Elsevier, Wiley and Google Scholar to download 738 manuscripts out of which 125 were selected to conduct the study. Out of 125 manuscripts selected, a good number approx. 79% are from reputed journals and around 21% are from good conference of repute. Testing tools discussed in this paper have broadly been divided into five different categories: open source, academic and research, commercial, academic and open source, and commercial & open source. The paper also discusses several benchmarked datasets viz. Evosuite 10, SF100 Corpus, Defects4J repository, Neo4j, JSON, Mocha JS, and Node JS to name a few. Aim of this paper is to make the researchers aware of the various test case generation tools and techniques introduced in the last 11 years with their salient features.
软件测试用例生成工具和技术:回顾
在过去的二十年里,软件行业正在以非常快的速度发展。在过去的二十年中,许多软件开发、测试和测试用例生成方法已经发展到交付高质量的产品和服务。测试对于保证软件产品的质量和可靠性起着至关重要的作用。在本文中,作者试图对测试工具和技术进行系统的研究。六个最受欢迎的电子资源分别是IEEE、b施普林格、美国计算机协会(ACM)、爱思唯尔、威利和谷歌Scholar,他们可以下载738份手稿,其中125份被选中进行研究。在125份被选中的手稿中,大约有很多。79%来自知名期刊,约21%来自声誉良好的会议。本文中讨论的测试工具大致分为五个不同的类别:开源,学术和研究,商业,学术和开源,商业和开源。本文还讨论了几个基准数据集,如Evosuite 10、SF100语料库、缺陷4j存储库、Neo4j、JSON、Mocha JS和Node JS等。本文的目的是让研究人员了解过去11年中引入的各种测试用例生成工具和技术,以及它们的显著特征。
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
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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