research-article

Nufix: escape from NuGet dependency maze

Authors:

Shing-Chi Cheung,

Jian-Guang LouAuthors Info & Claims

ICSE '22: Proceedings of the 44th International Conference on Software Engineering

Pages 1545 - 1557

https://doi.org/10.1145/3510003.3510118

Published: 05 July 2022 Publication History

Abstract

Developers usually suffer from <u>d</u>ependency <u>m</u>aze (DM) issues, i.e., package dependency constraints are violated when a project's platform or dependencies are changed. This problem is especially serious in .NET ecosystem due to its fragmented platforms (e.g., .NET Framework, .NET Core, and .NET Standard). Fixing DM issues is challenging due to the complexity of dependency constraints: multiple DM issues often occur in one project; solving one DM issue usually causes another DM issue cropping up; the exponential search space of possible dependency combinations is also a barrier.

In this paper, we aim to help .NET developers tackle the DM issues. First, we empirically studied a set of real DM issues, learning their common fixing strategies and developers' preferences in adopting these strategies. Based on these findings, we propose NuFix, an automated technique to repair DM issues. NuFix formulates the repair task as a binary integer linear optimization problem to effectively derive an optimal fix in line with the learnt developers' preferences. The experiment results and expert validation show that NuFix can generate high-quality fixes for all the DM issues with 262 popular .NET projects. Encouragingly, 20 projects (including affected projects such as Dropbox) have approved and merged our generated fixes, and shown great interests in our technique.

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Xie YJia ZLi SWang YMa JLi XLiu HFu YLiao XFilkov VRay BZhou M(2024)How to Pet a Two-Headed Snake? Solving Cross-Repository Compatibility Issues with HeraProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695064(694-705)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695064
Gao KHe RXie BZhou M(2024)Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and DisengagementACM Transactions on Software Engineering and Methodology10.1145/364033633:4(1-27)Online publication date: 10-Jan-2024
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Index Terms

Nufix: escape from NuGet dependency maze
1. Software and its engineering
  1. Software notations and tools
    1. Software libraries and repositories

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cover image ACM Conferences

ICSE '22: Proceedings of the 44th International Conference on Software Engineering

May 2022

2508 pages

ISBN:9781450392211

DOI:10.1145/3510003

General Chair:
Matthew B Dwyer
University of Virginia
,
Program Chairs:
Daniela Damian
University of Victoria, Canada
,
Andreas Zeller
CISPA, Germany

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Cited By

Xie YJia ZLi SWang YMa JLi XLiu HFu YLiao XFilkov VRay BZhou M(2024)How to Pet a Two-Headed Snake? Solving Cross-Repository Compatibility Issues with HeraProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695064(694-705)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695064
Gao KHe RXie BZhou M(2024)Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and DisengagementACM Transactions on Software Engineering and Methodology10.1145/364033633:4(1-27)Online publication date: 10-Jan-2024
https://dl.acm.org/doi/10.1145/3640336
Ghorbani NSingh TGarcia JMalek S(2024)Darcy: Automatic Architectural Inconsistency Resolution in JavaIEEE Transactions on Software Engineering10.1109/TSE.2024.339643350:6(1639-1657)Online publication date: 3-May-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3396433
Mens TRoover C(2023)An Introduction to Software EcosystemsSoftware Ecosystems10.1007/978-3-031-36060-2_1(1-29)Online publication date: 26-May-2023
https://doi.org/10.1007/978-3-031-36060-2_1
Wang CWu RSong HShu JLi G(2022)smartPip: A Smart Approach to Resolving Python Dependency Conflict IssuesProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3560437(1-12)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3551349.3560437

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