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Abstract

This paper presents a Community of Practice (CoP) framework for collaborative online game development tested over a six-month production cycle with 32 distributed participants across developer, designer, and player roles. Using a mixed-methods design, we operationalized CoP constructs into measurable production metrics drawn from Discord, Perforce, and Jira logs. The analysis evaluated six core propositions covering framework viability, multi-stakeholder integration, workflow effectiveness, quality outcomes, skill development, and engagement sustainability. Results demonstrate that structured CoP scaffolding combined with agile mechanisms can sustain engagement, coordinate diverse contributors, and deliver a functional vertical slice. The study extends CoP theory by quantifying classical constructs, testing boundary conditions in artifact-intensive environments, and surfacing structural barriers to peripheral participant integration in distributed production contexts.

Paper Number

1142

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Aug 15th, 12:00 AM

Community-Driven Production Framework for Collaborative Online Game Development

This paper presents a Community of Practice (CoP) framework for collaborative online game development tested over a six-month production cycle with 32 distributed participants across developer, designer, and player roles. Using a mixed-methods design, we operationalized CoP constructs into measurable production metrics drawn from Discord, Perforce, and Jira logs. The analysis evaluated six core propositions covering framework viability, multi-stakeholder integration, workflow effectiveness, quality outcomes, skill development, and engagement sustainability. Results demonstrate that structured CoP scaffolding combined with agile mechanisms can sustain engagement, coordinate diverse contributors, and deliver a functional vertical slice. The study extends CoP theory by quantifying classical constructs, testing boundary conditions in artifact-intensive environments, and surfacing structural barriers to peripheral participant integration in distributed production contexts.

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