Publication: PathMiner: A Library for Mining of Path-Based Representations of Code
PathMiner: A Library for Mining of Path-Based Representations of Code
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Kovalenko, V., Bogomolov, E., Bryksin, T., & Bacchelli, A. (2019). PathMiner: A Library for Mining of Path-Based Representations of Code. 13–17. https://doi.org/10.1109/MSR.2019.00013
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One recent, significant advance in modeling source code for machine learning algorithms has been the introduction of path-based representation - an approach consisting in representing a snippet of code as a collection of paths from its syntax tree. Such representation efficiently captures the structure of code, which, in turn, carries its semantics and other information. Building the path-based representation involves parsing the code and extracting the paths from its syntax tree; these steps build up to a substantial technical job. W
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- Kovalenko, Vladimir
- Bogomolov, Egor
- Bryksin, Timofey
- Bacchelli, Alberto
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Kovalenko, V., Bogomolov, E., Bryksin, T., & Bacchelli, A. (2019). PathMiner: A Library for Mining of Path-Based Representations of Code. 13–17. https://doi.org/10.1109/MSR.2019.00013
