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DeepDir: a deep learning approach for API directive detection
Science China Information Sciences ( IF 8.8 ) Pub Date : 2020-11-24 , DOI: 10.1007/s11432-019-1520-6
Jingxuan Zhang , He Jiang , Shuai Lu , Ge Li , Xin Chen

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.



中文翻译:

DeepDir:API指令检测的深度学习方法

API指令是API规范中最重要的知识之一。现有方法仅依靠语法模式来检测API指令,并且缺乏深刻的语义理解。在本研究中,我们提出了一种深度学习方法DeepDir以自动检测API指令。实验结果表明,就F测量而言,DeepDir可以将最新技术平均提高20.78%。

更新日期:2020-12-03
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