DeepDir: a deep learning approach for API directive detection

Jingxuan Zhang

doi:10.1007/s11432-019-1520-6

DeepDir: a deep learning approach for API directive detection

2020-11-24

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DOI：10.1007/s11432-019-1520-6

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Conclusion 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.

DeepDir: a deep learning approach for API directive detection

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