Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

21 Pages

The document outlines how Large Language Models (LLMs) can be used in performance engineering to predict future software performance trends. It introduces a framework for using LLMs to analyze data from historical performance test reports and customer support tickets, aiming to predict key performance indicators (KPIs). The framework leverages in-context learning and exploratory data analysis (EDA) to create predictive models that improve system performance. The approach enhances decision-making, enables proactive troubleshooting, and optimizes resource allocation.

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Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

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