Mapping the Effectiveness of Automated Software Testing

该项目旨在帮助软件工程师以更可靠、更具成本效益的方式构建复杂的软件系统。它采用跨学科的方法，应用机器学习技术来自动测试复杂的软件系统。预期的结果包括一种新的方法，用于评估由自动化软件测试技术生成的测试套件的优点和缺点，以及生成高质量测试用例所需的方法。在现实世界中部署软件系统时，迫切需要这样的进步来避免灾难。

This project aims to help software engineers build complex software systems in far more reliable and cost-effective ways. It takes an interdisciplinary approach by applying machine learning techniques to automatically test complex software systems. Expected outcomes include a novel methodology for assessing the strengths and weaknesses of test suites generated by automated software testing techniques and the approaches required for generating high-quality test cases. Such advances are urgently needed to avoid disasters when deploying software systems in the real world.