Contributing Back to the Ecosystem: A User Survey of NPM Developers

• URL: http://arxiv.org/abs/2407.00862v1
• Date: Mon, 1 Jul 2024 00:15:55 GMT
• Title: Contributing Back to the Ecosystem: A User Survey of NPM Developers
• Authors: Supatsara Wattanakriengkrai, Christoph Treude, Raula Gaikovina Kula,
• Abstract summary: Survey of 49 developers from the NPM ecosystem. We find that developers are more likely to maintain their own packages rather than contribute to the ecosystem. Our results open up new avenues into tool support and research into how to sustain these ecosystems.
• Score: 10.154686574810501
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With the rise of the library ecosystem (such as NPM for JavaScript and PyPI for Python), a developer has access to a multitude of library packages that they can adopt as dependencies into their application.Prior work has found that these ecosystems form a complex web of dependencies, where sustainability issues of a single library can have widespread network effects. Due to the Open Source Software (OSS) nature of third party libraries, there are rising concerns with the sustainability of these libraries. In a survey of 49 developers from the NPM ecosystem, we find that developers are more likely to maintain their own packages rather than contribute to the ecosystem. Our results opens up new avenues into tool support and research into how to sustain these ecosystems, especially for developers that depend on these libraries. We have made available the raw results of the survey at \url{https://tinyurl.com/2p8sdmr3}.

Related papers

• An Overview and Catalogue of Dependency Challenges in Open Source Software Package Registries [52.23798016734889]
  This article provides a catalogue of dependency-related challenges that come with relying on OSS packages or libraries. The catalogue is based on the scientific literature on empirical research that has been conducted to understand, quantify and overcome these challenges.
  arXiv  Detail & Related papers  (2024-09-27T16:20:20Z)
• A Preliminary Study on Self-Contained Libraries in the NPM Ecosystem [2.221643499902673]
  The widespread of libraries within modern software ecosystems creates complex networks of dependencies. One mitigation strategy involves reducing dependencies; libraries with zero dependencies become to self-contained. This paper explores the characteristics of self-contained libraries within the NPM ecosystem.
  arXiv  Detail & Related papers  (2024-06-17T09:33:49Z)
• Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries [91.97201077607862]
  Industrial applications heavily rely on open-source software (OSS) libraries, which provide various benefits. To monitor the activities of such communities, a comprehensive list of repositories for the libraries of an ecosystem must be accessible. In this study, we analyze the accessibility of GitHub repositories for PyPI and NPM libraries.
  arXiv  Detail & Related papers  (2024-04-26T13:27:04Z)
• Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem [38.44692482370243]
  Python is widely used in the open-source community, largely owing to the extensive support from diverse third-party libraries. Third-party libraries can potentially lead to conflicts in dependencies, prompting researchers to develop dependency conflict detectors. endeavors have been made to automatically infer dependencies.
  arXiv  Detail & Related papers  (2023-10-19T09:07:51Z)
• Promises and Perils of Mining Software Package Ecosystem Data [10.787686237395816]
  Third-party packages have led to the emergence of large software package ecosystems with a maze of inter-dependencies. Understanding the infrastructure and dynamics of package ecosystems has given rise to approaches for better code reuse, automated updates, and the avoidance of vulnerabilities. In this chapter, we review promises and perils of mining the rich data related to software package ecosystems available to software engineering researchers.
  arXiv  Detail & Related papers  (2023-05-29T03:09:48Z)
• torchgfn: A PyTorch GFlowNet library [56.071033896777784]
  torchgfn is a PyTorch library that aims to address this need. It provides users with a simple API for environments and useful abstractions for samplers and losses.
  arXiv  Detail & Related papers  (2023-05-24T00:20:59Z)
• SequeL: A Continual Learning Library in PyTorch and JAX [50.33956216274694]
  SequeL is a library for Continual Learning that supports both PyTorch and JAX frameworks. It provides a unified interface for a wide range of Continual Learning algorithms, including regularization-based approaches, replay-based approaches, and hybrid approaches. We release SequeL as an open-source library, enabling researchers and developers to easily experiment and extend the library for their own purposes.
  arXiv  Detail & Related papers  (2023-04-21T10:00:22Z)
• Code Librarian: A Software Package Recommendation System [65.05559087332347]
  We present a recommendation engine called Librarian for open source libraries. A candidate library package is recommended for a given context if: 1) it has been frequently used with the imported libraries in the program; 2) it has similar functionality to the imported libraries in the program; 3) it has similar functionality to the developer's implementation, and 4) it can be used efficiently in the context of the provided code.
  arXiv  Detail & Related papers  (2022-10-11T12:30:05Z)
• Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code [74.28810048824519]
  Repro is an open-source library which aims at improving the usability of research code. It provides a lightweight Python API for running software released by researchers within Docker containers.
  arXiv  Detail & Related papers  (2022-04-29T01:54:54Z)
• Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystems [9.339419442638983]
  Machine learning libraries enable developers to integrate advanced ML functionality into their own applications. However, popular ML libraries are not available in all programming languages and software package ecosystems. We collect 2,436 cross-ecosystem bindings for 546 ML libraries across 13 software package ecosystems.
  arXiv  Detail & Related papers  (2022-01-18T18:53:21Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.