A Probabilistic Framework for Early-Stage Scalability Analysis in the Software Development Life Cycle
A probabilistic framework for early-stage scalability analysis that integrates Bayesian inference, queuing theory, and Monte Carlo simulation to model system behavior under uncertainty is proposed and demonstrates the effectiveness of probabilistic modeling in enabling proactive scalability engineering for cloud-based...