使用图形为上下文感知应用程序生成测试用例

Lian Yu, W. Tsai, Yanbing Jiang, J. Gao
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引用次数: 23

摘要

上下文感知应用程序通常由中间件和一组服务组成,这些服务自主运行,以适应不断变化的环境,其中各种传感器安装在物理设施中,最终用户四处移动。由于组件之间的复杂交互,特别是对于复杂的环境建模,测试此类上下文感知应用程序具有挑战性。本文扩展了一个排序谓词逻辑作为约束来创建元模型,在此基础上构建了一个数据模型,并提出使用排序排序反应系统(BRS)来建模上下文感知环境。跟踪BRS模型和中间件模型之间的交互会生成测试用例,以验证上下文感知环境和中间件以及域服务之间的交互。为了减少测试用例的数量,本文提出了一种图形模式流测试策略。演示了一个示例机场,以显示故障检测功能和测试用例的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating Test Cases for Context-Aware Applications Using Bigraphs
Context-aware applications often consist of a middleware and a collection of services, which run autonomously adaptive to the changing environments, where a variety of sensors are installed in physical facilities, with end-users moving around. Testing such context-aware applications is challenging due to the complex interactions among the components, especially for the complicated environment modeling. This paper extends a bigraphical sorting predicate logic as constraints to create a meta-model, builds a data model based on the bigraphical meta-model, and proposes to use the sorted bigraphical reaction system (BRS) to model the context-aware environments. Tracing the interactions between the BRS model and the middleware model generates the test cases to verify the interactions between the context-aware environments and the middleware together with the domain services. To decrease the number of test cases, this paper proposes a bigraphical pattern flow testing strategy. An example airport is demonstrated to show fault detection capabilities and reductions of test cases.
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