Production and Operations Management· 2026Q1
EXPRESS: Agile Approaches for Gaming Software Development
- 0citations
- Q1SCImago
- 2026year
Short summary
A new optimal control framework endogenizes release timing and user-facing value in continuously evolving live-service games, showing that incremental release value declines as integration complexity grows.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed a multi-release optimal control framework that endogenizes release timing and user-facing value in live-service game development.
- Analyzed time-based and functionality-based release policies, showing declining incremental release value due to increasing integration complexity.
- Demonstrated that under time-based policies, feature delivery per release decreases, while functionality-based policies lead to longer development intervals.
- Observed a systematic shift in effort from construction to debugging as software systems mature.
AI-generated from the title and abstract; the full text is not read.
Abstract
Online games increasingly operate as continuously evolving live services enabled by agile and CI/CD-based development. In such environments, release timing is no longer a downstream scheduling choice but an operational control variable that interacts directly with functionality growth, error accumulation, and system complexity. This paper develops a multi-release optimal control framework that endogenizes release timing and user-facing value. Extending the functionality and error dynamics structure of Ji et al. (2005), we embed repeated release decisions directly into the development process and characterize how construction effort, debugging effort, and cadence jointly determine long-run value creation. Within this framework, we analyze two structured release regimes widely observed in practice: a time-based release policy, with fixed sprint duration, and a functionality-based release policy, with fixed feature scope. We show that incremental release value declines endogenously as integration complexity increases. Under time-based policies, the number of new features delivered per release decreases over time. Under functionality-based policies, maintaining fixed feature bundles requires progressively longer development intervals. In both regimes, effort shifts systematically from construction toward debugging as the system matures. We further introduce a hybrid release policy as a supplementary benchmark, allowing the firm to switch between time-based and functionality-based policies subject to a switching cost. This benchmark identifies conditions under which policy flexibility improves release performance while preserving the operational structure of the two release regimes. The results provide an operations-based theory of release cadence under endogenous complexity growth in software systems with repeated deployment.
The authors' abstract, as published at the source. Production and Operations Management, 2026 · DOI ↗
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Field: Software
SoftwareComputer Science