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API EVOLUTION AND ADAPTATION BASED ON COGNITIVE SELECTION AND UNSUPERVISED FEATURE LEARNING

机译:基于认知选择和未经监督的功能学习的API演变和适应

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:一种计算机实现的方法,包括:由计算设备接收与应用编程接口(API)有关的信息;以及由计算设备使用自然语言分类将API分类到基线分类法上;计算装置基于对基线分类法的分类,提取关于API的特征的信息;所述计算设备基于提取与所述API特征有关的信息并对所述API进行分类,相对于与所述API属于同一类的其他API对所述API进行评估;计算装置根据执行的评估更新API。

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