Improving Testing Efficiency using Cumulative Test Analysis

Ian Holden, D. Dalton
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引用次数: 2

Abstract

It can be impossible to thoroughly test complex software projects with a large library of tests to be run in many environments and configurations. The cumulative test analysis (CTA) technique described reduces the time to find defects by prioritising and minimising the testing. Tests are chosen to target the product areas having the highest risk of defects. Test effectiveness, test code coverage, product code changes and changes to dependencies are monitored and analysed to prioritise the testing. Test results from build to build are accumulated. Build reports clearly identify areas at risk, test results, and the tests that must be run. Experiences with a prototype tool are discussed and conclusions drawn from the use of CTA show that defects are found sooner, more time is available for writing new tests and the focus of test execution moves towards product quality instead of simply test results
利用累积测试分析提高测试效率
使用要在许多环境和配置中运行的大型测试库来彻底测试复杂的软件项目是不可能的。所描述的累积测试分析(CTA)技术通过对测试进行优先级排序和最小化来减少发现缺陷的时间。选择测试以具有最高缺陷风险的产品区域为目标。测试的有效性,测试代码的覆盖率,产品代码的变化和依赖关系的变化被监控和分析,以确定测试的优先级。从构建到构建的测试结果是累积的。构建报告清楚地标识风险区域、测试结果和必须运行的测试。本文讨论了使用原型工具的经验,并从使用CTA得出的结论表明,可以更快地发现缺陷,有更多的时间用于编写新的测试,并且测试执行的重点转向了产品质量,而不仅仅是测试结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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