A Roadmap for Software Testing in Open Collaborative Development Environments

TL;DR

This paper reviews recent advancements in software quality assurance for open collaborative development environments, highlighting challenges, opportunities, and emerging technologies like LLMs and AI models.

Contribution

It provides a comprehensive analysis of process management, personnel dynamics, and technological innovations, offering insights for maintaining quality in distributed, collaborative software projects.

Findings

Identifies key challenges in open collaborative development.

Highlights emerging opportunities with AI and LLMs.

Provides a framework for future research in software quality assurance.

Abstract

Amidst the ever-expanding digital sphere, the evolution of the Internet has not only fostered an atmosphere of information transparency and sharing but has also sparked a revolution in software development practices. The distributed nature of open collaborative development, along with its diverse contributors and rapid iterations, presents new challenges for ensuring software quality. This paper offers a comprehensive review and analysis of recent advancements in software quality assurance within open collaborative development environments. Our examination covers various aspects, including process management, personnel dynamics, and technological advancements, providing valuable insights into effective approaches for maintaining software quality in such collaborative settings. Furthermore, we delve into the challenges and opportunities arising from emerging technologies such as LLMs and the AI model-centric development paradigm. By addressing these topics, our study contributes to a deeper understanding of software quality assurance in open collaborative environments and lays the groundwork for future exploration and innovation.