Function Point Analysis is a method to measure software size by counting and weighting different types of functions like inputs, outputs, and files. The process starts by identifying these functions and classifying them. Each function type is assigned a weight based on complexity. Multiplying counts by weights gives the Unadjusted Function Points (UFP). Then, a Value Adjustment Factor (VAF) is determined to adjust for general system characteristics such as performance or usability. Multiplying UFP by VAF gives the Adjusted Function Points, which provide a more accurate size estimate. This estimate helps in project planning and effort estimation. For example, if there are 3 external inputs with weight 4, 2 external outputs with weight 5, and 4 internal logical files with weight 10, the UFP is calculated as (3*4)+(2*5)+(4*10) = 62. Applying a VAF of 1.1 results in 68.2 adjusted function points. This method helps teams understand software size in a standardized way.