Editing Idea:Task Classification for AI-Human Allocation (section)

== Framework Foundation ==

=== Theoretical Basis ===

The task classification framework builds upon established principles from:

* '''Operations Research:''' Optimization theory and resource allocation methodologies<ref>Resource Allocation Optimization in Software Development. (2023). ''Operations Research in Computing''. Mathematical frameworks for task assignment optimization.</ref>
* '''Human Factors Engineering:''' Analysis of human capabilities, limitations, and optimal working conditions
* '''Software Engineering Process Research:''' Empirical studies of development workflows, task complexity, and productivity factors
* '''Artificial Intelligence Capability Analysis:''' Assessment of AI system strengths, limitations, and evolution trajectories

=== Classification Methodology ===

Each task category is defined by:

* '''Task Characteristics:''' Scope, complexity, interdependence, and required outcomes
* '''Success Factor Requirements:''' Mapping to the [[Idea:10-Factor Developer Success Model]] with weighted importance levels
* '''Optimal Allocation Strategy:''' Recommended distribution between human developers, AI systems, and hybrid approaches
* '''Performance Measurement:''' Metrics and evaluation criteria for assessing allocation effectiveness

The framework provides flexibility for organizational adaptation while maintaining systematic consistency in task analysis and allocation decision-making.