SHF: Small:Testing in the Presence of Continuous Change

SHF：小：在持续变化的情况下进行测试

• 批准号: 1526652
• 负责人: Sebastian Elbaum
• 金额: $ 42.5万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1526652&HistoricalAwards=false
• 关键词: SHF; Small; Testing; Presence; Continuous

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.

许多开发软件的组织正在利用持续集成流程，其中工程师经常将代码与主线代码库合并，并持续进行回归测试。 在这种环境中发生演变的速度以及必须运行的测试数量可能是惊人的。为了确保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的变化发布周期。 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。 拟议的工作解决了这些需求，并且通过关注软件可靠性，这项工作有望使软件的生产者（即软件开发人员）和消费者（即广大公众）受益。这项工作将创建在连续测试期间安排测试用例的新技术基于它们的历史有效性、测试和变更之间的关系以及它们的执行潜力；这些技术还将能够适应发布实践和环境变化，并将得到足以在 CI 测试情况下使用的高效分析技术的支持。 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存在问题。这项工作将导致创建新的测试监控方法，并定义新的指​​标，以捕获测试和测试套件的属性和状态，以评估连续测试过程中的测试结果。 最后，这项工作将导致创建基础设施，以支持对所开发技术进行严格的实证评估。