Build Issue Resolution from the Perspective of Non-Contributors

Authors: Sunzhou Huang, Xiaoyin Wang

ASE 2024, NIER Track
License: CC BY 4.0

Results of the summarizing process for the arXiv paper: 2410.16311v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
This study examines the behavior of participants encountering build issues in open-source software (OSS) projects. To collect data and gain insight into the issue resolution process, various methods were utilized including logging command history, environment variables, and network information. Additionally, snapshots were taken to capture the entire virtual machine (VM) state at specific moments. The resulting 303 build issues from 31 reports were analyzed using an open coding procedure by two authors. Fourteen distinct symptoms of build issues were identified and categorized into environment, process, system, and test-related issues. It was found that the number of reported issues was not only correlated with the number of participants but also project-specific. However, a significant portion (60.1%) remained unsettled indicating persistent challenges faced by non-contributors in resolving build issues. This study contributes to understanding non-contributors' behavior when dealing with build issues in OSS projects and lays the foundation for further research aimed at enhancing their experience in resolving such challenges.
AI-generated keywords: Open-source software Build issues Logging data Snapshot capture Qualitative analysis

AI-generated Key Points

  • Study focused on behavior of participants encountering build issues in open-source software (OSS) projects
  • Data collection methods included logging command history, environment variables, and network information
  • Snapshots taken to capture entire virtual machine (VM) state at specific moments
  • 303 build issues from 31 reports analyzed using open coding procedure by two authors
  • Fourteen distinct symptoms of build issues identified and categorized into environment, process, system, and test-related issues
  • Number of reported issues correlated with number of participants and project-specific factors
  • 60.1% of build issues remained unsettled indicating persistent challenges faced by non-contributors
  • Study contributes to understanding non-contributors' behavior in resolving build issues in OSS projects
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: Open-source software (OSS) often needs to be built by roles who are not contributors. Despite the prevalence of build issues experienced by non-contributors, there is a lack of studies on this topic. This paper presents a study aimed at understanding the symptoms and causes of build issues experienced by non-contributors. The findings highlight certain build issues that are challenging to resolve and underscore the importance of understanding non-contributors' behavior. This work lays the foundation for further research aimed at enhancing the non-contributors' experience in dealing with build issues.

Submitted to arXiv on 07 Oct. 2024

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.