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Authors: Aman Swaraj and Sandeep Kumar

Affiliation: Indian Institute of Technology- Roorkee, India

Keyword(s): Tf-Idf, BERT, Word2Vec, Regex, Stack Overflow, Programming Language Classification.

Abstract: Software Question-Answer (SQA) sites such as Stack Overflow (SO) comprise a significant portion of a developer’s resource for knowledge sharing. Owing to their mass popularity, these SQA sites require an appropriate tagging mechanism to better facilitate discussion among users. An intrinsic part of predicting these tags is predicting programming languages of the code segments associated with the questions. Usually, state of art models such as BERT and embedding-based algorithms such as word2vec are preferred for the text classification task, however, in the case of code snippets that are different from natural language in both syntactic as well as semantic composition, embedding techniques might not yield as precise results as traditional methods. To this predicament, we propose a regex-based tf-idf vectorization approach followed by chi-square feature reduction over an ANN classifier. Our method achieves an accuracy of 85% over a corpus of 232,727 stack overflow code snippets which surpasses several baselines. (More)

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Paper citation in several formats:
Swaraj, A. and Kumar, S. (2023). Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-647-7; ISSN 2184-4895, SciTePress, pages 648-655. DOI: 10.5220/0011989600003464

@conference{enase23,
author={Aman Swaraj. and Sandeep Kumar.},
title={Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2023},
pages={648-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011989600003464},
isbn={978-989-758-647-7},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN
SN - 978-989-758-647-7
IS - 2184-4895
AU - Swaraj, A.
AU - Kumar, S.
PY - 2023
SP - 648
EP - 655
DO - 10.5220/0011989600003464
PB - SciTePress

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