Programming Languages: A Usage-based Statistical Analysis and Visualization

Aleksandra Orlowska; Christos Chrysoulas; Zakwan Jaroucheh; Xiaodong Liu

doi:10.1145/3459955.3460614

Programming Languages: A Usage-based Statistical Analysis and Visualization

Aleksandra Orlowska, Christos Chrysoulas, Zakwan Jaroucheh, Xiaodong Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest to recruit for. In addition, popularity of languages used together can indicate tight communities of languages. This project aims to discover the current state of language popularity and use historical data to understand their respective trends. Data was sourced and processed from GitHub project language data and StackOverflow question tags be-tween 2008 and 2020. This data is then collated into visualizations with the aim of understanding popularity of languages in isolation, and in tandem. Several different visualizations were utilized, each giving different perspectives on the data. The findings were analyzed and discussed with a view to adequately identify the current trends in programming languages. From the results, it is understood that JavaScript is leading programming language in popularity in isolation. HTML and CSS are languages are commonly used in tandem with JavaScript.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Information Science and Systems
Publisher	Association for Computing Machinery
Pages	143-148
Number of pages	6
ISBN (Print)	9781450389136
DOIs	https://doi.org/10.1145/3459955.3460614
Publication status	Published - 28 Jul 2021
Event	4th International Conference on Information Science and Systems 2021 - Virtual, Online, Edinburgh, United Kingdom Duration: 17 Mar 2021 → 19 Mar 2021 https://www.iciss.org/2021.html

Conference

Conference	4th International Conference on Information Science and Systems 2021
Abbreviated title	ICISS 2021
Country/Territory	United Kingdom
City	Edinburgh
Period	17/03/21 → 19/03/21
Internet address	https://www.iciss.org/2021.html

Keywords

GitHub
JavaScript
Programming languages
StackOverflow
Statistics

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3459955.3460614

Cite this

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title = "Programming Languages: A Usage-based Statistical Analysis and Visualization",

abstract = "Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest to recruit for. In addition, popularity of languages used together can indicate tight communities of languages. This project aims to discover the current state of language popularity and use historical data to understand their respective trends. Data was sourced and processed from GitHub project language data and StackOverflow question tags be-tween 2008 and 2020. This data is then collated into visualizations with the aim of understanding popularity of languages in isolation, and in tandem. Several different visualizations were utilized, each giving different perspectives on the data. The findings were analyzed and discussed with a view to adequately identify the current trends in programming languages. From the results, it is understood that JavaScript is leading programming language in popularity in isolation. HTML and CSS are languages are commonly used in tandem with JavaScript.",

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Orlowska, A, Chrysoulas, C, Jaroucheh, Z & Liu, X 2021, Programming Languages: A Usage-based Statistical Analysis and Visualization. in Proceedings of the 4th International Conference on Information Science and Systems. Association for Computing Machinery, pp. 143-148, 4th International Conference on Information Science and Systems 2021, Edinburgh, United Kingdom, 17/03/21. https://doi.org/10.1145/3459955.3460614

Programming Languages: A Usage-based Statistical Analysis and Visualization. / Orlowska, Aleksandra; Chrysoulas, Christos; Jaroucheh, Zakwan et al.
Proceedings of the 4th International Conference on Information Science and Systems. Association for Computing Machinery, 2021. p. 143-148.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Orlowska, Aleksandra

AU - Chrysoulas, Christos

AU - Jaroucheh, Zakwan

AU - Liu, Xiaodong

PY - 2021/7/28

Y1 - 2021/7/28

N2 - Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest to recruit for. In addition, popularity of languages used together can indicate tight communities of languages. This project aims to discover the current state of language popularity and use historical data to understand their respective trends. Data was sourced and processed from GitHub project language data and StackOverflow question tags be-tween 2008 and 2020. This data is then collated into visualizations with the aim of understanding popularity of languages in isolation, and in tandem. Several different visualizations were utilized, each giving different perspectives on the data. The findings were analyzed and discussed with a view to adequately identify the current trends in programming languages. From the results, it is understood that JavaScript is leading programming language in popularity in isolation. HTML and CSS are languages are commonly used in tandem with JavaScript.

AB - Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest to recruit for. In addition, popularity of languages used together can indicate tight communities of languages. This project aims to discover the current state of language popularity and use historical data to understand their respective trends. Data was sourced and processed from GitHub project language data and StackOverflow question tags be-tween 2008 and 2020. This data is then collated into visualizations with the aim of understanding popularity of languages in isolation, and in tandem. Several different visualizations were utilized, each giving different perspectives on the data. The findings were analyzed and discussed with a view to adequately identify the current trends in programming languages. From the results, it is understood that JavaScript is leading programming language in popularity in isolation. HTML and CSS are languages are commonly used in tandem with JavaScript.

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KW - Programming languages

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KW - Statistics

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ER -

Programming Languages: A Usage-based Statistical Analysis and Visualization

Abstract

Conference

Keywords

ASJC Scopus subject areas

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