Abstract
Modern software development tools typically provide a syntax highlighting feature to enhance the readability of source code. Syntax highlighting means that different kinds of terms in the text of source code are rendered in visually distinct ways. A syntax theme is a collection of definitions that determine the look of a workspace. Editors and IDEs often let the user customize the syntax theme to their preference and can also provide services for users to share themes within the community. This paper presents a data mining study of a large collection of publicly available syntax themes (approximately 330) associated with a popular open-source text editor. For each theme we collected certain metadata as well as a cascading stylesheet definition. The metadata includes information such as the title of theme, a plain text description, and specific programming languages supported by the theme. For each syntax theme, a preprocessor script creates a feature vector that aggregates data from the theme definition and metadata. Themes are analyzed with both RGB and HSV color models. Analysis shows a variety of significant correlations in the dataset as well general patterns of syntax theme usage. We also discuss how our dataset bears on previously established models of code comprehension.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 173-176 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538692738 |
| DOIs | |
| Publication status | Published - Feb 19 2019 |
| Event | 3rd IEEE International Conference on Communication and Information Systems, ICCIS 2018 - Singapore, Singapore Duration: Dec 28 2018 → Dec 30 2018 |
Publication series
| Name | 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018 |
|---|
Conference
| Conference | 3rd IEEE International Conference on Communication and Information Systems, ICCIS 2018 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 12/28/18 → 12/30/18 |
Fingerprint
Keywords
- Data mining
- Syntax highlighting
- Text editors
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
Cite this
Patterns of syntax theme customization for code editors. / Matthew Sterling, Mark; Suleimenov, Aidarbek.
2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 173-176 8644882 (2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Patterns of syntax theme customization for code editors
AU - Matthew Sterling, Mark
AU - Suleimenov, Aidarbek
PY - 2019/2/19
Y1 - 2019/2/19
N2 - Modern software development tools typically provide a syntax highlighting feature to enhance the readability of source code. Syntax highlighting means that different kinds of terms in the text of source code are rendered in visually distinct ways. A syntax theme is a collection of definitions that determine the look of a workspace. Editors and IDEs often let the user customize the syntax theme to their preference and can also provide services for users to share themes within the community. This paper presents a data mining study of a large collection of publicly available syntax themes (approximately 330) associated with a popular open-source text editor. For each theme we collected certain metadata as well as a cascading stylesheet definition. The metadata includes information such as the title of theme, a plain text description, and specific programming languages supported by the theme. For each syntax theme, a preprocessor script creates a feature vector that aggregates data from the theme definition and metadata. Themes are analyzed with both RGB and HSV color models. Analysis shows a variety of significant correlations in the dataset as well general patterns of syntax theme usage. We also discuss how our dataset bears on previously established models of code comprehension.
AB - Modern software development tools typically provide a syntax highlighting feature to enhance the readability of source code. Syntax highlighting means that different kinds of terms in the text of source code are rendered in visually distinct ways. A syntax theme is a collection of definitions that determine the look of a workspace. Editors and IDEs often let the user customize the syntax theme to their preference and can also provide services for users to share themes within the community. This paper presents a data mining study of a large collection of publicly available syntax themes (approximately 330) associated with a popular open-source text editor. For each theme we collected certain metadata as well as a cascading stylesheet definition. The metadata includes information such as the title of theme, a plain text description, and specific programming languages supported by the theme. For each syntax theme, a preprocessor script creates a feature vector that aggregates data from the theme definition and metadata. Themes are analyzed with both RGB and HSV color models. Analysis shows a variety of significant correlations in the dataset as well general patterns of syntax theme usage. We also discuss how our dataset bears on previously established models of code comprehension.
KW - Data mining
KW - Syntax highlighting
KW - Text editors
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U2 - 10.1109/ICOMIS.2018.8644882
DO - 10.1109/ICOMIS.2018.8644882
M3 - Conference contribution
T3 - 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018
SP - 173
EP - 176
BT - 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -