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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.04495 |
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| _version_ | 1866912630512287744 |
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| author | Tevarut, Napasorn Reid, Brittany Kashiwa, Yutaro Leelaprute, Pattara Rungsawang, Arnon Manaskasemsak, Bundit Iida, Hajimu |
| author_facet | Tevarut, Napasorn Reid, Brittany Kashiwa, Yutaro Leelaprute, Pattara Rungsawang, Arnon Manaskasemsak, Bundit Iida, Hajimu |
| contents | Trivial packages, small modules with low functionality, are common in the npm ecosystem and can pose security risks despite their simplicity. This paper refines existing definitions and introduce data-only packages that contain no executable logic. A rule-based static analysis method is developed to detect trivial and data-only packages and evaluate their prevalence and associated risks in the 2025 npm ecosystem. The analysis shows that 17.92% of packages are trivial, with vulnerability levels comparable to non-trivial ones, and data-only packages, though rare, also contain risks. The proposed detection tool achieves 94% accuracy (macro-F1 0.87), enabling effective large-scale analysis to reduce security exposure. This findings suggest that trivial and data-only packages warrant greater attention in dependency management to reduce potential technical debt and security exposure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_04495 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Detecting and Characterizing Low and No Functionality Packages in the NPM Ecosystem Tevarut, Napasorn Reid, Brittany Kashiwa, Yutaro Leelaprute, Pattara Rungsawang, Arnon Manaskasemsak, Bundit Iida, Hajimu Software Engineering Trivial packages, small modules with low functionality, are common in the npm ecosystem and can pose security risks despite their simplicity. This paper refines existing definitions and introduce data-only packages that contain no executable logic. A rule-based static analysis method is developed to detect trivial and data-only packages and evaluate their prevalence and associated risks in the 2025 npm ecosystem. The analysis shows that 17.92% of packages are trivial, with vulnerability levels comparable to non-trivial ones, and data-only packages, though rare, also contain risks. The proposed detection tool achieves 94% accuracy (macro-F1 0.87), enabling effective large-scale analysis to reduce security exposure. This findings suggest that trivial and data-only packages warrant greater attention in dependency management to reduce potential technical debt and security exposure. |
| title | Detecting and Characterizing Low and No Functionality Packages in the NPM Ecosystem |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2510.04495 |