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CONCEPTUAL MODEL FOR SOFTWARE FAULT LOCALIZATION

机译:软件故障定位的概念模型

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摘要

Existing cognitive science and psychology studies suggest that a bi-level approach to fault localization is needed with both shallow and deep reasoning. This approach form the underpinnings for developing our Conceptual Model for Software Fault Localization (CMSFL) to aid programmers with the problem of software fault localization. Our CMSFL proposes that, during the fault localization process programmers build two mental models: an actual code model (the buggy code), and an expectation model (the correct code). A multi dimensional approach is suggested with both shallow and deep reasoning phases to enhance the probability of localizing many types of faults.
机译:现有的认知科学和心理学研究表明,需要采用浅层和深层推理两种方法来进行故障定位。这种方法构成了开发我们的软件故障本地化概念模型(CMSFL)的基础,以帮助程序员解决软件故障本地化的问题。我们的CMSFL建议,在故障定位过程中,程序员应建立两个思维模型:一个实际的代码模型(错误代码)和一个期望模型(正确的代码)。建议采用浅层和深层推理阶段的多维方法,以提高定位多种类型故障的可能性。

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