Automatically Analysing and Improving Software Test Suite Health

研究自动分析和改进软件测试套件运行状况的方法。表明软件测试套件运行状况不佳的因素包括（但不限于）脆弱的测试、零散的测试和伪测试代码。这项研究将试图定义测试套件健康指标，使测试人员比代码覆盖率等传统指标更好地了解他们的测试质量。它将根据这些指标，通过适应技术，如测试放大和基于搜索的测试，来自动改进测试套件。

Investigate methods to automatically analyse and improve software test suite health. Factors indicating poor software test suite health include (but are not limited to) brittle tests, flaky tests, and pseudo-tested code. This research will seek to define tests suite health metrics that give testers a better idea of the quality of their tests than traditional metrics like code coverage. It will seek to automatically improve the test suites according to these metrics by adapting techniques such as test amplification and search-based testing.