Collaborative Research: Scalable Integration Testing of Object-Oriented Software: An Empirical Research Program

合作研究：可扩展的集成测试面向对象软件：一个实证研究项目pis: Mary Jean Harrold， Alessandro Orso， Gregg rothermel当开发面向对象和基于组件的软件系统时，它们必须进行集成测试。然而，到目前为止为这样的系统提出的集成测试方法受到三个限制：它们没有考虑到系统的演化，它们没有适应异构工程模型和信息源，并且它们很少或根本没有提供影响测试工作的因素的经验调查或理解。这项研究解决了这些限制。这项工作的最初目标是设计并实施一系列实验，以比较应用于不断发展的面向对象和基于组件的软件的集成测试的现有技术的成本-收益，并评估这些技术之间的潜在权衡。这些研究的结果将指导进化感知集成测试技术的发展，能够适应测试信息的异质来源，并响应与面向对象和基于组件的软件相关的广泛的工程模型。通过向研究界提供实验数据、基础设施和新的实验方法，拟议的工作将使所调查问题的科学进展加快。通过提供测试这类重要软件系统的方法，工作将减少这些系统对社会的风险。

CCR-0306372 and CCR-0306023Collaborative Research: Scalable Integration Testing Object-Oriented Software: An Empirical Research ProgramPIs: Mary Jean Harrold, Alessandro Orso, Gregg RothermelWhen object-oriented and component-based software systems are developed, they must be integration tested. Integration testing methods proposed to date for such systems, however, suffer from three limitations: they fail to consider system evolution, they fail to accommodate heterogeneous engineering models and sources of nformation, and they provide little or no empirical investigation or understanding of the factors influencing the testing effort. This research addresses these limitations. The initial objective of the work is to design and conduct families of experiments to compare the cost-benefits of existing techniques for integration testing applied to evolving object-oriented and component-based software, and evaluate the potential tradeoffs among those techniques. The results of these studies will guide the development of evolution-aware integration testing techniques, capable of accommodating heterogenous sources of testing information, and responding to the wide range of engineering models associated with object oriented and component-based software. By making experimental data, infrastructure, and new experimental methodologies available to the research community, the proposed work will enable scientific progress on the issues investigated to accelerate. By providing methodologies for testing this important class of software systems, the work will reduce the risks these systems present to society.