Towards Competence-Based Management for Open Source Software Projects

• URL: http://arxiv.org/abs/2608.05599v1
• Date: Thu, 06 Aug 2026 04:45:23 GMT
• Title: Towards Competence-Based Management for Open Source Software Projects
• Abstract summary: Core contributors' disengagement has increased to the point that it risks the projects' survival.<n>Finding new contributors to replace the workforce is challenging and time-intensive.<n>By properly assessing contributors' competences, we can identify and train candidates to replace core contributors.
• Score: 2.1410799064827235
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Contributors to Open Source Software (OSS) projects are vital to maintaining the health of both communities and projects. However, the number of projects experiencing core contributors' disengagement has increased to the point that it risks the projects' survival. Finding new contributors to replace the workforce is challenging and time-intensive due to several factors, including a lack of precise knowledge about potential candidates' competences, which may need to be confirmed through interviews and exams. Previous studies provided indications of the contributor's competences, although they lack depth in understanding competence levels, which can result in poor knowledge about the contributor's capabilities. To address this gap, we assess contributors' competence by collecting code metrics related to source code from contributions. We also propose a competence model able to predict the competence level required to solve tasks. By properly assessing contributors' competences, we can identify and train candidates to replace core contributors. Our replication package, including code, data, and documentation, is available at https://doi.org/10.5281/zenodo.21605122

Related papers

• Generative Skill Composition for LLM Agents [58.47191648555256]
  LLM agents benefit from skills for solving complex tasks.<n>As skill libraries grow, selecting an appropriate skill composition has emerged as a central bottleneck.<n>We propose SkillComposer, which instantiates structured skill composition as task-conditioned skill sequence prediction.
  arXiv  Detail & Related papers  (2026-06-30T17:53:09Z)
• SkillComposer: Learning to Evolve Agent Skills for Specification and Generalization [99.18305770138677]
  Agent skills are reusable strategies that guide agent reasoning and action.<n>Current skill construction methods treat the problem as one-shot extraction.<n>We introduce SkillComposer, a framework that decomposes skill construction into three learnable operations.
  arXiv  Detail & Related papers  (2026-06-04T12:16:08Z)
• Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI [51.4138877170325]
  We propose a task-specific trust semantics distillation model based on a large AI model (LAM)-driven teacher-student agent architecture.<n>The proposed 2TSD model can reduce collaborator evaluation time, decrease device resource consumption, and improve the accuracy of collaborator selection.
  arXiv  Detail & Related papers  (2025-09-09T21:18:31Z)
• Are We on the Same Page? Examining Developer Perception Alignment in Open Source Code Reviews [2.66269503676104]
  Code reviews are a critical aspect of open-source software (OSS) development, ensuring quality and fostering collaboration.<n>This study examines perceptions, challenges, and biases in OSS code review processes, focusing on the perspectives of Contributors and maintainers.
  arXiv  Detail & Related papers  (2025-04-25T15:03:39Z)
• Empirical Analysis of Pull Requests for Google Summer of Code [0.0]
  The Google Summer of Code (GSoC) is a global initiative that matches students or new contributors with experienced mentors to work on open-source projects.<n>This study presents an empirical analysis of pull requests created by interns during the GSoC program.
  arXiv  Detail & Related papers  (2024-12-17T17:42:43Z)
• Knowledge Islands: Visualizing Developers Knowledge Concentration [0.0]
  Knowledge Islands is a tool that visualizes the concentration of knowledge in a software repository using a state-of-the-art knowledge model. It enables practitioners to analyze GitHub projects, determine where knowledge is concentrated, and implement measures to maintain project health.
  arXiv  Detail & Related papers  (2024-08-16T13:32:49Z)
• Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives [54.14429346914995]
  Chain-of-Thought (CoT) has become a pivotal method for solving complex problems with large language models (LLMs)<n>This paper introduces the Re-TASK framework, a novel theoretical model that revisits LLM tasks from capability, skill, and knowledge perspectives.<n> Experiments across diverse domains demonstrate the effectiveness of Re-TASK.
  arXiv  Detail & Related papers  (2024-08-13T13:58:23Z)
• How to Gain Commit Rights in Modern Top Open Source Communities? [14.72524623433377]
  We study the policies and practical implementations of committer qualifications in modern top OSS communities. We construct a taxonomy of committer qualifications, consisting of 26 codes categorized into nine themes. We find that the probability of gaining commit rights decreases as participation time passes.
  arXiv  Detail & Related papers  (2024-05-03T01:23:06Z)
• Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators [78.63553017938911]
  Large language models (LLMs) outperform information retrieval techniques for downstream knowledge-intensive tasks. However, community concerns abound regarding the factuality and potential implications of using this uncensored knowledge. We introduce CONNER, designed to evaluate generated knowledge from six important perspectives.
  arXiv  Detail & Related papers  (2023-10-11T08:22:37Z)
• Supporting the Task-driven Skill Identification in Open Source Project Issue Tracking Systems [0.0]
  We investigate the automatic labeling of open issues strategy to help the contributors to pick a task to contribute. By identifying the skills, we claim the contributor candidates should pick a task more suitable. We applied quantitative studies to analyze the relevance of the labels in an experiment and compare the strategies' relative importance.
  arXiv  Detail & Related papers  (2022-11-02T14:17:22Z)
• Knowledge Integration of Collaborative Product Design Using Cloud Computing Infrastructure [65.2157099438235]
  The main focus of this paper is the concept of ongoing research in providing the knowledge integration service for collaborative product design and development using cloud computing infrastructure. Proposed knowledge integration services support users by giving real-time access to knowledge resources.
  arXiv  Detail & Related papers  (2020-01-16T18:44:27Z)

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.