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

CCR-0306372和CCR-0306023合作研究：可扩展的集成测试面向对象软件：一个经验研究计划PI：玛丽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。 集成测试方法提出的日期，这样的系统，但是，遭受三个限制：他们没有考虑系统的演变，他们不能适应异构工程模型和信息源，他们提供很少或根本没有经验调查或理解的因素影响的测试工作。 这项研究解决了这些局限性。 这项工作的最初目标是设计和进行家庭的实验，以比较现有的集成测试技术的成本效益，适用于不断发展的面向对象和基于组件的软件，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构源，并响应与面向对象和基于组件的软件相关联的工程模型的范围广泛。 通过向研究界提供实验数据、基础设施和新的实验方法，拟议的工作将使研究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，这项工作将减少这些系统给社会带来的风险。

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.