一种支持上下文感知软件系统的测试用例规范的测试技术

A. Doreste, G. Travassos
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引用次数: 0

摘要

上下文感知软件系统(CASS)捕获上下文并使其行为受其影响。因此,这些系统必须准备好处理环境及其变化。如果他们不这样做,失败可能会造成严重的损害,因为他们与现实世界密切相关。然而,缺乏软件技术来支持它们的测试。因此,这项工作提出了CATS#,这是一种测试技术,可以帮助对上下文感知软件系统(CASS)的测试用例进行说明。CATS#在一个本科生项目中得到了应用。结果表明它最初的可行性来支持常规测试技术未涵盖的情况下的CASS测试用例规范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CATS#: A Testing Technique to Support the Specification of Test Cases for Context-Aware Software Systems
Context-Aware Software Systems (CASS) capture the context and have their behavior affected by it. Therefore, these systems must be prepared to deal with the context and its variation. If they don’t, a failure can cause profound damage since they deal closely with the real world. Nevertheless, there is a lack of software technologies to support their testing. Thus, this work presents CATS#, a testing technique to help the specification of test cases for Context-Aware Software Systems (CASS). CATS# was applied in a project by undergraduate students. The results indicate its initial feasibility to support the specification of CASS test cases for situations not covered by conventional testing techniques.
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