SEMar 22

Awakening: Modern Challenges and Opportunities of Software Engineering Research

arXiv:2603.2140348.2h-index: 54
AI Analysis

It addresses structural challenges in software engineering research for academia and industry, but is incremental in proposing solutions.

The paper identifies that modern software systems are large, proprietary, and hard to access in academia, making incremental methods insufficient, and proposes directions like industrial collaborations and moonshot projects to address these challenges.

Software engineering research benefited for decades from openly available tools, accessible systems, and problems that could be studied at modest scale. Today, many of the most relevant software systems are large, proprietary, and embedded in industrial contexts that are difficult to access or replicate in academia. We review how the field reached this point, identify structural challenges facing contemporary research, and argue that incremental methodological refinement is insufficient. We discuss practical directions forward, including industrial PhDs, long-term industry-academia collaborations, larger research teams, moonshot projects, and changes to funding and evaluation practices.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes