👉 Empirical computing is an approach to software development and system design that emphasizes learning from data and experience rather than following a rigid, predefined set of rules or specifications. It involves collecting and analyzing data from real-world interactions, using this information to adapt and improve systems over time. This methodology is particularly useful in dynamic environments where requirements are not well-defined upfront or change frequently. By leveraging machine learning, statistical analysis, and other data-driven techniques, empirical computing enables systems to evolve based on user behavior, environmental changes, and feedback loops, ultimately leading to more adaptive, efficient, and personalized solutions.
