Test case prioritization

测试用例优先级

• 批准号: 499518-2016
• 负责人: Bener, Ayse
• 金额: $ 3.79万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=645140
• 关键词: Test; case; prioritization

This proposal is a collaborative effort between IBM CAS Canada and the Data Science Laboratory at Ryerson University to build a software tool-aided test case prioritization model. Software analytics guide practitioners in decision making throughout the software development process. In this context, prediction models can help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. It is necessary to have all-in-one tools that manage data collection, analysis, and calibration as well as communicate with existing systems in software organizations to provide valuable information. Over the years we have developed such a tool, called Dione. Dione is a software delivery intelligence and predictive analytics tool for a software delivery platform. It has an intelligent decision optimization engine (mining, filtering, prediction). It integrates data extraction, reporting, and prediction modules for a complete decision support cycle and offers a minimum configuration solution in a platform agnostic manner. In this project we aim to deploy Dione to IBM Rational Team Concert (RTC) to address practical challenges regarding Test Case prioritization. Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness in meeting some performance goal. Various goals are possible; one involves rate of fault detection - a measure of how quickly faults are detected within the testing process. An improved rate of fault detection during testing can provide faster feedback on the system under test, and let software engineers begin correcting faults earlier than might otherwise be possible. In the case of successful application of the proposed solution, it will not only impact the product quality of RTC but also be a best practice for the users of it. In other words, this will trigger cascaded benefits for a particular software industry in Canada.

该提案是IBM CAS Canada和瑞尔森大学数据科学实验室之间的合作成果，旨在构建软件工具辅助的测试用例优先级排序模型。软件分析指导从业者在整个软件开发过程中进行决策。在这种情况下，预测模型可以帮助管理人员有效地组织他们的资源，并通过以智能和有意义的方式分析现有项目数据的模式来识别问题。有必要拥有多功能一体化工具来管理数据收集、分析和校准，并与软件组织中的现有系统进行通信，以提供有价值的信息。多年来，我们开发了这样一种工具，称为Dione。Dione是一个软件交付智能和预测分析工具，用于软件交付平台。它具有智能决策优化引擎（挖掘，过滤，预测）。它集成了数据提取、报告和预测模块，以实现完整的决策支持周期，并以平台无关的方式提供最低配置解决方案。在这个项目中，我们的目标是将Dione部署到IBM Rational Team Concert（RTC）中，以解决关于测试用例优先级的实际挑战。测试用例优先级排序技术将测试用例按照一定的顺序安排执行，以试图提高它们在满足某些性能目标方面的有效性。各种目标都是可能的;一个涉及到故障检测率-在测试过程中检测到故障的速度。在测试过程中，提高故障检测的速度可以为被测系统提供更快的反馈，并让软件工程师开始纠正故障，这比其他方法可能做到的要早。在成功应用所提出的解决方案的情况下，它不仅会影响RTC的产品质量，而且也是RTC用户的最佳实践。换句话说，这将为加拿大的特定软件行业带来级联效益。