A Prototype VS Code Extension to Improve Web Accessible Development
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866917954600304640 |
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| author | Calì, Elisa Fulcini, Tommaso Coppola, Riccardo Laudadio, Lorenzo Torchiano, Marco |
| author_facet | Calì, Elisa Fulcini, Tommaso Coppola, Riccardo Laudadio, Lorenzo Torchiano, Marco |
| contents | Achieving web accessibility is essential to building inclusive digital experiences. However, accessibility issues are often identified only after a website has been fully developed, making them difficult to address. This paper introduces a Visual Studio Code plugin that integrates calls to a Large Language Model (LLM) to assist developers in identifying and resolving accessibility issues within the IDE, reducing accessibility defects that might otherwise reach the production environment. Our evaluation shows promising results: the plugin effectively generates functioning fixes for accessibility issues when the errors are correctly detected. However, detecting errors using a generic prompt-designed for broad applicability across various code structures-remains challenging and limited in accuracy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_09673 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Prototype VS Code Extension to Improve Web Accessible Development Calì, Elisa Fulcini, Tommaso Coppola, Riccardo Laudadio, Lorenzo Torchiano, Marco Software Engineering Achieving web accessibility is essential to building inclusive digital experiences. However, accessibility issues are often identified only after a website has been fully developed, making them difficult to address. This paper introduces a Visual Studio Code plugin that integrates calls to a Large Language Model (LLM) to assist developers in identifying and resolving accessibility issues within the IDE, reducing accessibility defects that might otherwise reach the production environment. Our evaluation shows promising results: the plugin effectively generates functioning fixes for accessibility issues when the errors are correctly detected. However, detecting errors using a generic prompt-designed for broad applicability across various code structures-remains challenging and limited in accuracy. |
| title | A Prototype VS Code Extension to Improve Web Accessible Development |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2503.09673 |