The rapid adoption and evolution of AI are changing software engineering work and requiring professionals to repeatedly adapt their knowledge, practices, and skills. Although technological adaptation has long characterized software development, less is known about how these new and recurring pressures manifest as techn...
R. E. de Souza Santos, Ítalo Santos, Cleyton Magalhães et al.· 0 citations
This vision paper argues that AI does not eliminate software engineering expertise but shifts where that expertise becomes most critical, and identifies research opportunities for education, tools, and policy that can help the software engineering community respond to the AI era with greater agency, accountability, and...
Zi-Xuan Feng, Ítalo Santos, Kostadin Damevski et al.· 0 citations
The findings show that AI-DDoS is not only a contribution-volume problem but a sustainability trap: communities often default to low-effort defensive strategies that protect short-term review capacity while making openness difficult to sustain.
Sadia Afroz, Courtney Miller, T. Menezes et al.· arXiv.org· 0 citations
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