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A Systematic Test Case Generation Approach for Testing Message Length Variability

机译:用于测试消息长度变异性的系统测试案例生成方法

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Variable length messages have been in use for a long time for efficient delivery of information. As there are many different ways, with varying complexity, to utilize message length variability, it is crucial to thoroughly test the capability of the parsers of such messages to ensure that they correctly handle the variability. However, testing techniques for message length variability were developed only in fragments in the past and therefore test developers who are faced with the task of testing variable length messages are left with little guidance or few techniques for handling them systematically. This paper develops an approach for systematic test cases generation for testing the parsers of variable length messages. To do so, we develop taxonomy of message length variabilities, and derive test requirement patterns for them using the taxonomy. Then test requirements for particular protocols can be derived from the patterns. A case study is conducted to show that the proposed taxonomy and the test requirement patterns are effective in deriving test cases for actual protocols. The results showed significant improvement over the conventional approach. It revealed many missed requirements that were not identified with the test requirements developed using the conventional intuition-based approach.
机译:可变长度消息已经被使用很长时间了,以有效地传递信息。由于存在多种不同的方式来利用消息长度可变性,并且具有不同的复杂性,因此至关重要的是,全面测试此类消息的解析器的功能以确保它们正确处理了可变性。但是,过去仅在片段中开发了用于消息长度可变性的测试技术,因此面对测试可变长度消息任务的测试开发人员几乎没有指导或系统地处理它们的技术。本文开发了一种系统的测试用例生成方法,用于测试可变长度消息的解析器。为此,我们开发了消息长度可变性的分类法,并使用该分类法推导了它们的测试需求模式。然后可以从这些模式中得出特定协议的测试要求。进行了一个案例研究,表明所提出的分类法和测试需求模式对于导出实际协议的测试案例是有效的。结果表明,与常规方法相比,已有显着改进。它揭示了许多遗漏的需求,而这些需求并未与使用常规的基于直觉的方法开发的测试需求一起被识别。

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