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所在平台: Udemy |
课程主页: https://www.udemy.com/course/combinatorial-testing/
课程评论：没有评论
**课程名称：组合测试** **课程概述：** 本课程将全面介绍组合测试的概念，并为从初学者到专家的所有学习者提供实践经验，旨在培养学员自信地生成自己的组合测试用例。学员将深入理解组合测试的术语、概念及其应用。课程将指导学生使用免费且屡获殊荣的开源工具 ACTS (Advanced Combinatorial Testing Services)，从而能够为课程练习和外部应用程序生成组合测试用例。 （课程也介绍了其他免费的组合测试工具，但选择 ACTS 是因为它免费、来源可靠且易于使用！） 课程通过包含讲义和演示的视频、测验和练习，引导学生进行高度实践的学习体验。 **课程优势：** 本课程适合希望提升系统测试知识的软件开发人员、测试人员、科学家、工程师以及大学生。 **为什么学习组合测试？** * 测试不足的产品可能导致人身伤害、经济损失，并影响日常生活质量。 * 软件缺陷每年给经济造成数十亿美元的损失。 * 开发人员和测试人员通常只能预测和测试已知问题，而未预料到的缺陷则容易被遗漏。 * 穷尽式测试常常不切实际。 **组合测试的重要性：** 组合测试是一种成本效益高的技术，可以增强现有的测试实践。它不会取代当前的软件测试流程，而是一种成本相对较低的测试解决方案，能够为被测参数或组件提供系统的覆盖。
This course provides an overview of combinatorial testing concepts and provides hands-on experience for everyone from beginners to experts with a course outcome of confidently generating their own combinatorial test suites. Students will understand terminology, concepts, and applications of combinatorial testing. The course teaches students to use a freely available and award winning open source tool called ACTS - Advanced Combinatorial Testing Services so that they are able to generate their own combinatorial test suites for the courses exercises and outside applications. (Students are also pointed to other free combinatorial testing tools, but we chose ACTS due to it being free, from a trusted source, and easy to use!) Videos with lecture slides and demos, quizzes, and exercises guide students through the highly hands-on learning experience.This course benefits software developers, testers, scientists, engineers, and college students who want to advance their knowledge of testing systems. Consider that products released with inadequate testing can cause bodily harm, result in economic losses, and affect the quality of day-to-day life. Software defects cost our economy billions of dollars each year. Software developers and testers often test for problems that they anticipate while unanticipated bugs slip through the cracks. Exhaustive testing is often impractical. Combinatorial testing is often a cost-effective technique to augment current testing practices. That is, it will not replace current software testing processes, but it is a relatively low cost testing solution that provides systematic coverage of parameters or components under test.
