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Programming Language Prediction using Machine Learning

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Název: Programming Language Prediction using Machine Learning
Autoři: Nidhun M, Sona Maria Sebastian, orcid:0000-0001-7784-
Informace o vydavateli: Department of Computer Applications, Amal Jyothi College of Engineering Kanjirappally, Kottayam
Rok vydání: 2023
Sbírka: Zenodo
Témata: Classification, Machine learning, Random Forest, NLP, Source code Detection
Popis: The primary tool used in the software development industry is programming languages. Since the 1940s, hundreds of them have been developed, and every day, a sizable number of new lines of code are written in a variety of programming languages and pushed to active repositories. We consider a source code classifier to be a highly valuable tool for automatic syntax highlighting and label suggestion on systems, such as code editors, that can identify the programming language used to write a certain piece of code. This motivated us to use cutting-edge AI methods for text classification to build a model for categorizing code snippets according to their language. We developed a new dataset for our empirical investigation using the GitHub Repos Dataset, which includes 131450 code snippets dispersed over 34 programming languages.
Druh dokumentu: conference object
Jazyk: unknown
Relation: https://zenodo.org/communities/amaljyothi/; https://zenodo.org/records/7961995; oai:zenodo.org:7961995; https://doi.org/10.5281/zenodo.7961995
DOI: 10.5281/zenodo.7961995
Dostupnost: https://doi.org/10.5281/zenodo.7961995
https://zenodo.org/records/7961995
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo: edsbas.B9989DF
Databáze: BASE
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  Data: <searchLink fieldCode="AR" term="%22Nidhun+M%22">Nidhun M</searchLink><br /><searchLink fieldCode="AR" term="%22Sona+Maria+Sebastian%22">Sona Maria Sebastian</searchLink><br /><searchLink fieldCode="AR" term="%22orcid%3A0000-0001-7784-%22">orcid:0000-0001-7784-</searchLink>
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  Data: Department of Computer Applications, Amal Jyothi College of Engineering Kanjirappally, Kottayam
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  Data: The primary tool used in the software development industry is programming languages. Since the 1940s, hundreds of them have been developed, and every day, a sizable number of new lines of code are written in a variety of programming languages and pushed to active repositories. We consider a source code classifier to be a highly valuable tool for automatic syntax highlighting and label suggestion on systems, such as code editors, that can identify the programming language used to write a certain piece of code. This motivated us to use cutting-edge AI methods for text classification to build a model for categorizing code snippets according to their language. We developed a new dataset for our empirical investigation using the GitHub Repos Dataset, which includes 131450 code snippets dispersed over 34 programming languages.
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