🤖 AI Summary
This study addresses the scarcity of systematic empirical research on government software engineering practices and the limited visibility of existing findings in mainstream academic venues. Through three rapid literature reviews, the authors systematically screened 984 papers published in 2024 across top-tier international software engineering conferences, regional South American conferences, and public-sector digital transformation communications. Only four relevant studies were identified, most of which consisted of regional case studies or experiential reports, confirming that empirical evidence in this domain remains sparse and highly fragmented. The findings underscore a significant gap in scholarly attention to government software engineering and inform a proposed research agenda alongside recommendations for interdisciplinary collaboration to advance the field.
📝 Abstract
Government agencies are major software developers and drivers of digital transformation, yet empirical evidence on their software engineering (SE) practices remains largely unexplored. This paper reports three rapid reviews of 2024 peer reviewed publications to assess the availability of evidence on government SE practices. We examined a subset of top tier international SE venues, regional South American SE conferences, and a curated newsletter on public sector digitalization. Across 984 screened papers, we identified only four studies reporting on SE practices conducted by, for, or in collaboration with government bodies, most published in regional venues as experience reports or case studies. Our findings are consistent with practitioners' perceptions that academic evidence on government SE practices has low visibility in mainstream SE venues. We discuss implications including the need for dedicated publication venues, incentives for government academia collaboration, and improved methods for evaluating grey literature, currently a key information source for government agencies. This work provides a preliminary study for understanding the evidence landscape and identifies directions for future research to better support evidence based software engineering in the public sector.