By analyzing the average percent of faults detected （APFD） metric and its variant versions, which are widely utilized as metrics to evaluate the fault detection efficiency of the test suite, this paper points out so...
详细信息
By analyzing the average percent of faults detected （APFD） metric and its variant versions, which are widely utilized as metrics to evaluate the fault detection efficiency of the test suite, this paper points out some limitations of the APFD series metrics. These limitations include APFD series metrics having inaccurate physical explanations and being unable to precisely describe the process of fault detection. To avoid the limitations of existing metrics, this paper proposes two improved metrics for evaluating fault detection efficiency of a test suite, including relative-APFD and relative-APFDc. The proposed metrics refer to both the speed of fault detection and the constraint of the testing source. The case study shows that the two proposed metrics can provide much more precise descriptions of the fault detection process and the fault detection efficiency of the test suite.
模拟人类认知过程是人工智能与计算认知学的一个重要研究领域。认知体系结构将人类认知模块化，通过模块之间的相互作用模拟人类认知过程。理性思维的自适应控制系统（adaptive control of thought-rational，ACT-R）是认知体系结构研...
详细信息
模拟人类认知过程是人工智能与计算认知学的一个重要研究领域。认知体系结构将人类认知模块化，通过模块之间的相互作用模拟人类认知过程。理性思维的自适应控制系统（adaptive control of thought-rational，ACT-R）是认知体系结构研究领域中的代表性理论，作为混合型认知体系结构，ACT-R使用symbolic系统与sub-symbolic系统共同模拟人类认知过程。ACT-R的相关研究已经应用到智能导师、智能agent等领域，并得到了越来越多的关注。通过对ACT-R的发展与相关研究进行综述，分别介绍了symbolic与sub-symbolic的系统组成、模块功能，以及ACT-R的相关应用等内容。
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