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CONCEPTUAL MODEL FOR SOFTWARE FAULT LOCALIZATION

机译:软件故障本地化的概念模型

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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,需要浅层和深度推理时需要对故障定位的双级方法。这种方法形成了开发我们的软件故障定位(CMSFL)概念模型的基础,以帮助程序员具有软件故障定位问题。我们的CMSFL提出,在故障本地化过程中,程序员构建了两个心理模型:实际代码模型(错误代码)和期望模型(正确的代码)。浅层和深层推理阶段建议多维方法,以增强本地化许多类型的故障的可能性。

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