This repository contains the artifacts of our paper 'Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models' accepted at MAPS'22 symposium, co-located with PLDI'22 conference.
Artifact for Article (CI-DD-Perses):
Reproducible Capsule of FeatureExtractor:
├── code/
├── CI_DD # sample code for DD with CI
├── CI_Perses # sample code for Perses with CI
├── files # sample input program and model
├── data/
├── c2v_simplified # traces of reduced inputs with code2vec model
├── c2s_simplified # traces of reduced inputs with code2seq model
├── summary_results # summary results of all experiments as csv
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| Extracting key features that models have learned during training. |
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
@inproceedings{rabin2022features,
author = {Rabin, Md Rafiqul Islam and Hussain, Aftab and Alipour, Mohammad Amin},
title = {Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models},
year = {2022},
isbn = {9781450392730},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3520312.3534869},
doi = {10.1145/3520312.3534869},
booktitle = {Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming},
pages = {70–79},
numpages = {10},
location = {San Diego, CA, USA},
series = {MAPS 2022}
}