SHF: Small:Testing in the Presence of Continuous Change

许多开发软件的组织都在利用持续集成过程，在这种过程中，工程师频繁地将代码与主线代码库合并，并持续回归测试。在这样的环境中发生发展的速度和必须运行的测试数量可能是惊人的。为了确保在这些情况下的软件质量，测试过程需要快速适应可用资源、测试请求频率和产品发布周期的变化。必须适当地选择和安排测试，必须分析测试的稳健性，并且必须适当地监控测试过程。这项工作将根据测试用例的历史有效性、测试和变更之间的关系以及它们的执行潜力来创建新的测试用例调度技术；这些技术还将能够适应发布实践和环境变化，并将得到足以有效地使用INCI测试情况的分析技术的支持。这项工作将涉及研究与测试设计相关的问题的影响，并开发轻量级静态和动态技术来分析测试用例和测试套件，以确定它们是否可能存在问题。这项工作将导致为测试监控创建新的方法，并定义新的度量标准来捕获测试和测试套件属性和状态，以评估持续测试过程中的测试结果。最后，这项工作将导致建立支持所开发技术的严格经验评估的基础结构。

Many organizations that develop software are utilizing continuous integrationprocesses, in which engineers merge code frequently with the mainline codebase,and continuously regression test it. The pace at which evolution occurs insuch environments, and the numbers of tests that must be run, can be staggering.To ensure the quality of software in these situations, testing processes needto adapt quickly to changes in available resources, testing request frequency,and product release cycles. Tests must be chosen and scheduled appropriately,tests must be analyzed for robustness, and testing processes must beappropriately monitored. The proposed work addresses these needs, and byfocusing on software dependability, the work promises to benefit bothproducers (i.e., software developers) and consumers (i.e., the public at large)of software.This work will create new techniques for scheduling test cases duringcontinuous testing based on their historical effectiveness, the relationshipsbetween tests and changes, and their potential for execution; these techniqueswill also be able to adapt to release practices and environmental changes, andwill be supported by analysis techniques that are efficient enough for use inCI testing situations. The work will involve studying the effect of problemsrelated to test design, and developing lightweight static and dynamictechniques for analyzing test cases and test suites to determine whether theymay be problematic. The work will lead to the creation of new approaches fortest monitoring, and the definition of new metrics that capture test and testsuite attributes and states for the assessment of testing results in continuoustesting processes. Finally, the work will result in the creation ofinfrastructure to support rigorous empirical assessments of the techniquesdeveloped.