SE Research is a Complex Ecosystem: Isolated Fixes Keep Failing -- and Systems Thinking Shows Why

2026-01-22

AI Summary

This study addresses systemic challenges confronting software engineering research—including reviewer overload, metric-driven incentives, publication distortions, and AI misuse—which have repeatedly resisted isolated reform efforts. For the first time in this domain, the work integrates complex systems theory with theories of change to develop a novel analytical framework that combines ecosystem metaphors with feedback loop analysis. This approach uncovers the intrinsic coupling mechanisms among these interrelated problems, identifies critical leverage points, and elucidates the structural roots underlying the failure of current interventions. Building on these insights, the paper proposes coordinated, multi-level systemic interventions designed to foster a healthier and more sustainable research ecosystem, offering both a theoretical foundation and actionable pathways for transformative change.

Technology Category

• Search and Optimization: Metareasoning and Metaheuristics
• Knowledge Representation and Reasoning: Action, Change, and Causality
• Multiagent Systems: Agent/AI Theories and Architectures

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Social Networks and Social Media: Computational social science
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization

Abstract

The software engineering research community is productive, yet it faces a constellation of challenges: swamped review processes, metric-driven incentives, distorted publication practices, and increasing pressures from AI, scale, and outright scams. These issues are often treated in isolation, yet they arise from deep structural dynamics within the research ecosystem itself and distract us from the larger role of research in society. Meaningful progress requires a holistic system-level view. We sketch such a framework drawing on ideas from complex systems, ecosystems, and theory of change. Reframing SE's challenges through this lens reveals non-linear feedback loops that sustain current dysfunctions, and it helps to identify leverage points for reform. These are less a matter of isolated fixes and more a matter of exploring coordinated sets of fixes that operate across the SE ecosystem

Problem

• software engineering research
• research ecosystem
• systemic challenges
• publication practices
• incentive structures

Innovation

• systems thinking
• complex systems
• research ecosystem
• theory of change
• leverage points