用于自动生成测试用例的瀑布式和敏捷的基于需求的模型

Roaa Elghondakly, Sherin M. Moussa, N. Badr
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引用次数: 20

摘要

基于需求的测试是一种测试方法,其中测试用例来源于需求。需求代表了软件开发生命周期的初始阶段。需求被认为是任何软件项目的基础。因此,自然语言需求中的任何歧义都会导致接下来的阶段出现重大错误。此外,定义不清的需求可能导致软件项目失败。软件开发模型有瀑布模型、敏捷模型等。在本文中,我们提出了一种新的自动化方法来从需求中生成测试用例。需求可以从不同的模型中收集,无论是瀑布模型(功能性和非功能性)还是敏捷模型。SRS文档、非功能性需求和用户故事被建议的方法解析和使用,以生成测试用例,其中涵盖了不同类型的需求。该方法采用文本挖掘和符号执行方法进行测试数据的生成和验证,建立了多学科领域的知识库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Waterfall and agile requirements-based model for automated test cases generation
Requirements-based testing is a testing approach in which test cases are derived from requirements. Requirements represent the initial phase in software developments life cycle. Requirements are considered the basis of any software project. Therefore, any ambiguity in natural language requirements leads to major errors in the coming phases. Moreover, poorly defined requirements may cause software project failure. There exist many software development models as waterfall model, agile model, etc. In this paper, we propose a novel automated approach to generate test cases from requirements. Requirements can be gathered from different models either waterfall model (functional and non-functional) or agile model. SRS documents, non-functional requirements and user stories are parsed and used by the proposed approach to generate test cases in which requirements with different types are covered. The proposed approach uses text mining and symbolic execution methodology for test data generation and validation, where a knowledge base is developed for multi-disciplinary domains.
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