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A Mocktail of Source Code Representations - Consolidated Pipeline

mocktail-blend 최신버젼 다운로드

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// repository documentation

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# <div align="center">**Mocktail++**</div>

* A novel source code representation for capturing syntactic and semantic program features by utilizing multiple intermediate representations of code.

* Previous Versions
  
  * D. Vagavolu, K. C. Swarna and S. Chimalakonda, "A Mocktail of Source Code Representations," *2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)*, 2021, pp. 1296-1300, doi: 10.1109/ASE51524.2021.9678551. [[IEEE Xplore]](https://ieeexplore.ieee.org/document/9678551)
  
  * Dheeraj Vagavolu, Karthik Chandra Swarna, and Sridhar Chimalakonda. "A Mocktail of Source Code Representations." arXiv preprint arXiv:2106.10918 (2021) [[arXiv]](https://arxiv.org/abs/2106.10918)

* Please find the README for both the ```Path Extractor``` tool and the ```Extended code2vec model``` in their respective folders.

## Datasets
### Method Naming
* Download and create raw datasets using [this](./scripts/clone_repos.py) script.
* Download the processed datasets from [here](https://archive.org/details/mocktail-dataset-method-naming-tse). Processed datasets are path-extracted versions of the raw datasets. They can be readily used to train the model.

### Program Classification and Clone Detection
* Download the raw datasets from CodeXGlue's [repository](https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Clone-detection-POJ-104#dataset).
* Download the processed datasets from [here](https://archive.org/details/mocktail-dataset-program-classification-tse). Processed datasets are path-extracted versions of the raw datasets. They can be readily used to train the model.

## **Team**
* In case of any queries or if you would like to give any suggestions, please feel free to contact:
  - Karthik Chandra (cs17b026@iittp.ac.in) 
  - Noble Saji Mathews (ch19b023@iittp.ac.in)
  - Dheeraj Vagavolu (cs17b028@iittp.ac.in) 
  - Sridhar Chimalakonda (ch@iittp.ac.in)

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