PatchRNNExtra

RNN-based Security Patch Identification with Oversampling Samples.

'''
    PatchRNNExtra: RNN-based Security Patch Identification with Oversampling Samples.
    Developer: Shu Wang
    Date: 2020-09-23
    Version: S2020.09.23-V4-Extra
    Description: patch identification using both commit messages and normalized diff code
                 with extra oversampling samples.
    File Structure:
    PatchRNNExtra
        |-- data                                    # data storage.
                |-- negatives                           # negative samples.
                |-- positives                           # positive samples.
                |-- security_patch                      # positive samples. (official)
        |-- synthesis                               # synthetic data storage.
                |-- negatives                           # negative samples. (synthetic)
                |-- positives                           # positive samples. (synthetic)
                |-- security_patch                      # positive samples. (synthetic)
        |-- temp                                    # temporary stored variables.
                |-- data.npy                            # raw data. (important)
                |-- props.npy                           # properties of diff code. (important)
                |-- msgs.npy                            # commit messages. (important)
                |-- ...                                 # other temporary files. (trivial)
        |-- PatchRNNExtra.py                        # main entrance. (Local)
    Usage:
        python PatchRNNExtra.py
    Dependencies:
        clang >= 6.0.0.2
        torch >= 1.2.0+cu92
        nltk  >= 3.3
'''