Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem

As the default package manager for Node.js, npm has become one of the largest package management systems in the world. To facilitate dependency management for developers, npm supports a special type of dependency, Peer Dependency, whose installation and usage differ from regular dependencies. However, conflicts between peer dependencies can trap the npm client into infinite loops, leading to resource exhaustion and system crashes. We name this problem PeerSpin. Although PeerSpin poses a severe risk to ecosystems, it was overlooked by previous studies, and its impacts have not been explored. To bridge this gap, this paper conducts the first in-depth study to understand and detect PeerSpin in the npm ecosystem. First, by systematically analyzing the npm dependency resolution, we identify the root cause of PeerSpin and characterize two peer dependency patterns to guide detection. Second, we propose a novel technique called Node-Replacement-Conflict based PeerSpin Detection, which leverages the state of the directory tree during dependency resolution to achieve accurate and efficient PeerSpin detection. Based on this technique, we developed a tool called PeerChecker to detect PeerSpin. Finally, we apply PeerChecker to the entire npm ecosystem and find that 5,662 packages, totaling 72,968 versions, suffer from PeerSpin. Until now, we have selected 100 problematic packages to report and received 28 confirmations. We also open source all PeerSpin analysis implementations, tools, and data sets to the public to help the community detect PeerSpin issues and enhance the reliability of the npm ecosystem.

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Publication Details

Published
2025-04-26
DOI
https://doi.org/10.1109/icse55347.2025.00054
Citations
1
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.49

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article

Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem

Wenbo Shen, Rui Chang, Xingyu Wang, Mingsen Wang
1 citations
Software System Performance and Reliability
1.49
article

Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem

Wenbo Shen, Rui Chang, Xingyu Wang, Mingsen Wang
article en
1 citations

Abstract

As the default package manager for Node.js, npm has become one of the largest package management systems in the world. To facilitate dependency management for developers, npm supports a special type of dependency, Peer Dependency, whose installation and usage differ from regular dependencies. However, conflicts between peer dependencies can trap the npm client into infinite loops, leading to resource exhaustion and system crashes. We name this problem PeerSpin. Although PeerSpin poses a severe risk to ecosystems, it was overlooked by previous studies, and its impacts have not been explored. To bridge this gap, this paper conducts the first in-depth study to understand and detect PeerSpin in the npm ecosystem. First, by systematically analyzing the npm dependency resolution, we identify the root cause of PeerSpin and characterize two peer dependency patterns to guide detection. Second, we propose a novel technique called Node-Replacement-Conflict based PeerSpin Detection, which leverages the state of the directory tree during dependency resolution to achieve accurate and efficient PeerSpin detection. Based on this technique, we developed a tool called PeerChecker to detect PeerSpin. Finally, we apply PeerChecker to the entire npm ecosystem and find that 5,662 packages, totaling 72,968 versions, suffer from PeerSpin. Until now, we have selected 100 problematic packages to report and received 28 confirmations. We also open source all PeerSpin analysis implementations, tools, and data sets to the public to help the community detect PeerSpin issues and enhance the reliability of the npm ecosystem.

Zhejiang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 16%
Software System Performance and Reliability
1.49
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