Revision as of 07:57, 21 April 2025 edit SoftDevAnalyst (talk \| contribs) 11 edits m Inserted a neutral description of AI-based estimation tools as part of contemporary formal estimation methods, reflecting current trends. Tag: Reverted ← Previous edit		Revision as of 12:23, 21 April 2025 edit undo MrOllie (talk \| contribs) Extended confirmed users, Pending changes reviewers, Rollbackers 255,482 edits unsourced Tag: Manual revert Next edit →
Line 75: * Formal estimation model: The quantification step is based on mechanical processes, e.g., the use of a formula derived from historical data. * Combination-based estimation: The quantification step is based on a judgmental and mechanical combination of estimates from different sources. Recent advancements in estimation practices include the use of AI-powered tools, which apply machine learning techniques to analyze project parameters and historical data. These tools are increasingly incorporated in early-stage planning to generate cost and effort predictions, particularly in contexts lacking extensive prior estimation data. Below are examples of estimation approaches within each category.

Software development effort estimation: Difference between revisions