基于需求的自动黑盒测试生成

L. Tahat, A. Bader, Boris Vaysburg, B. Korel
{"title":"基于需求的自动黑盒测试生成","authors":"L. Tahat, A. Bader, Boris Vaysburg, B. Korel","doi":"10.1109/CMPSAC.2001.960658","DOIUrl":null,"url":null,"abstract":"Testing large software systems is very laborious and expensive. Model-based test generation techniques are used to automatically generate tests for large software systems. However, these techniques require manually created system models that are used for test generation. In addition, generated test cases are not associated with individual requirements. In this paper, we present a novel approach of requirement-based test generation. The approach accepts a software specification as a set of individual requirements expressed in textual and SDL formats (a common practice in the industry). From these requirements, system model is automatically created with requirement information mapped to the model. The system model is used to automatically generate test cases related to individual requirements. Several test generation strategies are presented. The approach is extended to requirement-based regression test generation related to changes on the requirement level. Our initial experience shows that this approach may provide significant benefits in terms of reduction in number of test cases and increase in quality of a test suite.","PeriodicalId":269568,"journal":{"name":"25th Annual International Computer Software and Applications Conference. COMPSAC 2001","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"123","resultStr":"{\"title\":\"Requirement-based automated black-box test generation\",\"authors\":\"L. Tahat, A. Bader, Boris Vaysburg, B. Korel\",\"doi\":\"10.1109/CMPSAC.2001.960658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Testing large software systems is very laborious and expensive. Model-based test generation techniques are used to automatically generate tests for large software systems. However, these techniques require manually created system models that are used for test generation. In addition, generated test cases are not associated with individual requirements. In this paper, we present a novel approach of requirement-based test generation. The approach accepts a software specification as a set of individual requirements expressed in textual and SDL formats (a common practice in the industry). From these requirements, system model is automatically created with requirement information mapped to the model. The system model is used to automatically generate test cases related to individual requirements. Several test generation strategies are presented. The approach is extended to requirement-based regression test generation related to changes on the requirement level. Our initial experience shows that this approach may provide significant benefits in terms of reduction in number of test cases and increase in quality of a test suite.\",\"PeriodicalId\":269568,\"journal\":{\"name\":\"25th Annual International Computer Software and Applications Conference. COMPSAC 2001\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"123\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"25th Annual International Computer Software and Applications Conference. COMPSAC 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.2001.960658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"25th Annual International Computer Software and Applications Conference. COMPSAC 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.2001.960658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 123

摘要

测试大型软件系统是非常费力和昂贵的。基于模型的测试生成技术用于自动生成大型软件系统的测试。然而,这些技术需要手工创建用于测试生成的系统模型。另外,生成的测试用例不与单个需求相关联。本文提出了一种基于需求的测试生成方法。该方法接受软件规范作为一组以文本和SDL格式表示的单独需求(业界的一种常见做法)。从这些需求中,自动创建系统模型,并将需求信息映射到模型。系统模型用于自动生成与单个需求相关的测试用例。提出了几种测试生成策略。该方法被扩展到与需求层次上的变更相关的基于需求的回归测试生成。我们最初的经验表明,这种方法可以在减少测试用例数量和提高测试套件质量方面提供显著的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Requirement-based automated black-box test generation
Testing large software systems is very laborious and expensive. Model-based test generation techniques are used to automatically generate tests for large software systems. However, these techniques require manually created system models that are used for test generation. In addition, generated test cases are not associated with individual requirements. In this paper, we present a novel approach of requirement-based test generation. The approach accepts a software specification as a set of individual requirements expressed in textual and SDL formats (a common practice in the industry). From these requirements, system model is automatically created with requirement information mapped to the model. The system model is used to automatically generate test cases related to individual requirements. Several test generation strategies are presented. The approach is extended to requirement-based regression test generation related to changes on the requirement level. Our initial experience shows that this approach may provide significant benefits in terms of reduction in number of test cases and increase in quality of a test suite.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信