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API evolution and adaptation based on cognitive selection and unsupervised feature learning

机译:基于认知选择和无监督特征学习的API演化与适应

摘要

A computer-implemented method includes: receiving, by a computing device, information regarding an application programming interface (API); classifying, by the computing device, the API using natural language classification on to a baseline taxonomy; extracting, by the computing device, information regarding features of the API based on the classifying to the baseline taxonomy; performing, by the computing device, an assessment on the API relative to other APIs within a same class as the API based on the extracting the information regarding the API features and the classifying the API; and updating, by the computing device, the API based on the performing the assessment.
机译:计算机实现的方法包括:通过计算设备接收关于应用程序编程接口(API)的信息;通过计算设备对API进行分类,使用自然语言分类到基线分类;通过计算设备提取关于API的特征的信息,基于对基线分类学的分类;通过计算设备执行关于API的API的评估,其基于提取关于API特征和分类API的信息的API;基于执行评估,通过计算设备更新API。

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