基于特征的面向上下文的软件系统的测试场景生成

P. Martou, K. Mens, Benoît Duhoux, Axel Legay
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引用次数: 2

摘要

基于功能的面向上下文编程协调了面向上下文编程、功能建模和动态软件产品线的思想。因此,基于功能的面向上下文的编程(FBCOP)提供了一种编程语言、体系结构、工具和方法来开发上下文感知软件系统。这样的系统使用在其直接环境中识别的上下文信息,在运行时选择和激活适当的行为。如何测试基于特征的面向上下文的软件系统是这项工作的关键,也是我们研究的主题。使用FBCOP开发的系统通过上下文模型表示上下文信息,通过特征模型表示行为(使用特征建模)。映射模型详细说明哪些上下文触发哪些特性。考虑到指数,测试FBCOP系统是具有挑战性的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test Scenario Generation for Feature-Based Context-Oriented Software Systems
Feature-based context-oriented programming reconciles ideas from context-oriented programming, feature modelling, and dynamic software product lines. As a result, feature-based context-oriented programming (FBCOP) offers a programming language, architecture, tools, and methodology to develop context-aware software systems. Such systems use contextual information identified in their immediate environment to select and activate appropriate behaviour at runtime. How to test features-based context-oriented software systems is critical to this work and provides the subject of our research. Systems developed using FBCOP represent contextual information via a context model and behaviour via a feature model (using feature modelling). A mapping model details which contexts trigger which features. Testing FBCOP systems is challenging given the exponential
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