As software engineering has evolved, development environments have increasingly integrated automated support for tasks such as testing, analysis, and code generation, requiring project management to coordinate both human work and automated workflows. In this paper, we investigate how software project managers perceive...
R. E. de Souza Santos, Cleyton Magalhães, Ítalo Santos· 0 citations
Context: Fairness debt arises from AI development shortcomings that may lead to societal harms. While technical and social debt concern software design decisions and team dynamics, respectively, fairness debt captures the long-term consequences of development decisions that may reinforce bias and inequities in AI-based...
R. E. de Souza Santos, Cleyton Magalhães, R. Spínola· 0 citations
Despite the rapid adoption of Large Language Models in professional software engineering, limited research has investigated how early career professionals develop effective AI assisted work practices during their transition into industry. We report findings from a mixed methods survey with 75 novice software engineers...
Julia Alencar, R. E. de Souza Santos, Ítalo Santos et al.· 0 citations
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
The evidence suggests that proactive, iterative approaches incorporating human oversight are essential for mitigating algorithmic discrimination and enhancing the trustworthiness of AI systems, particularly in an era where AI is increasingly widespread.
Matheus de Morais Leca, M. Bento, R. E. de Souza Santos· SIGSOFT FSE Companion· 0 citations
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