DeepDir: a deep learning approach for API directive detection

被引：0

作者：

Jingxuan Zhang

He Jiang

Shuai Lu

Ge Li

Xin Chen

机构：

[1] Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology

[2] Nanjing University,State Key Laboratory for Novel Software Technology

[3] Ministry of Education,Key Laboratory of Complex Systems Modeling and Simulation

[4] Dalian University of Technology,School of Software

[5] Peking University,School of Electronic Engineering and Computer Science

[6] Hangzhou Dianzi University,School of Computer Science and Technology

来源：

Science China Information Sciences | 2021年 / 64卷

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摘要：

API directive is one of the most important knowledge in API specifications. Existing approach only relies on syntactic patterns to detect API directives and lacks a deep semantic understanding. In this study, we propose a deep learning approach DeepDir to automatically detect API directives. Experimental results show that DeepDir significantly improves the state-of-the-art approach by 20.78% on average in terms of F-measure.

引用

共 13 条

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