2018· International Journal of Artificial Intelligence & Digital Transformation· Vol 1, pp. 01-07· 0 citations
TL;DR
This systematic mapping study provides an exhaustive analysis of AI applications in microservices, categorizing existing research, identifying prevalent AI techniques, and highlighting areas requiring further exploration.
Abstract
The integration of Artificial Intelligence (AI) within the microservices architecture has emerged as a pivotal area of research, aiming to enhance various quality attributes throughout the DevOps lifecycle. This systematic mapping study provides an exhaustive analysis of AI applications in microservices, categorizing existing research, identifying prevalent AI techniques, and highlighting areas requiring further exploration. By synthesizing findings from numerous studies, this paper offers valuable insights for researchers and practitioners seeking to leverage AI for optimizing microservices-based systems.
This research introduces the FAIRE Framework (Formal Architecture for Institutionalizing and Regulating Emergence), a mathematically grounded, four-layer architecture for requirements emerging from human–AI collaboration.
This paper provides the architectural foundation and experimental protocol for future quantitative benchmarking, and proposes a five-pillar conceptual framework and establishes a qualitative baseline through domain expert interviews.
Ume Rubab, B. Axmann· Engineering review· 0 citations
The convergence of AI and sustainability has given rise to AI-driven sustainable business environments, where intelligent technologies are leveraged to optimize resource utilization, reduce carbon footprints, enhance operational efficiency, and promote long-term value creation.
M. Sathyanarayana· International Journal of Res...· 0 citations
The proposed approach seeks to improve the efficiency and accuracy of deriving microservice boundaries from Event Storming models while providing software architects and decision-makers with a systematic framework for analysing and evaluating decomposition alternatives.
V. Peczyński, J. Szłapczyńska· WiPiEC Journal - Works in Pr...· 0 citations
Artificial intelligence (AI) systems are increasingly central to decisions that impact individuals and society, showing the need for these systems to align with stakeholder values. However, traditional engineering approaches often relegate values to implicit considerations or early design phases, which diminishes their...
The emergence of AI agents is expected to reshape software engineering by moving beyond AI as assistants towards systems capable of planning, executing, and evaluating development tasks with increasing autonomy. This transition is particularly significant for embedded software organizations, where strict requirements f...
V. Kjellberg, Srijita Basu, Si-Min Sun et al.· 0 citations
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