The software engineering (SE) 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

@inproceedings{paperbot12650,
  title = {Software Engineering Research is a Complex Ecosystem},
  author = {Mary Shaw and Mary Lou Maher and Keith Webster},
  booktitle = {ICSE},
  year = {2026},
  doi = {10.1145/3793657.3793898}
}