π―ENHANCED TASK MANAGEMENT - FUNCTIONAL REQUIREMENTS SPECIFICATION
Comprehensive Functional Requirements with Acceptance Criteria
Version: 1.0.0 | Date: 2025-01-23 | Status: Functional Specification Integration: JAEGIS Enhanced System v2.0 | Component: Enhanced Task Management System
π FUNCTIONAL REQUIREMENTS OVERVIEW
This document defines comprehensive functional requirements for the Enhanced Task Management System with specific acceptance criteria for each component. Each requirement includes detailed specifications, acceptance criteria, and validation methods.
π§ 1. INTELLIGENT TASK HIERARCHY GENERATION
FR-1.1: Automatic Project Analysis and Hierarchy Generation
Requirement Statement
The system shall automatically analyze project complexity, scope, and requirements to generate comprehensive task hierarchies with appropriate levels of detail and granularity.
Detailed Specifications
Input Analysis: Process project descriptions, requirements documents, and scope statements using NLP
Complexity Assessment: Evaluate project size, technical complexity, resource requirements, and timeline constraints
Hierarchy Generation: Create multi-level task structures with logical organization and clear dependencies
Granularity Optimization: Ensure tasks are appropriately sized for effective execution (15-25 minutes per work item)
AI-Powered Analysis: Use machine learning algorithms to improve hierarchy generation based on historical data
Template Integration: Apply industry-standard project templates and best practices
Stakeholder Consideration: Factor in team size, expertise levels, and resource constraints
Acceptance Criteria
AC-1.1.1: System generates task hierarchies with minimum 4 levels (Project β Phase β Task β Work Item)
AC-1.1.2: Work items are sized for 15-25 minute execution windows with 90% accuracy
AC-1.1.3: Hierarchy generation completes within 30 seconds for projects up to 1000 tasks
AC-1.1.4: Generated hierarchies achieve 95% coverage of project requirements
AC-1.1.5: System provides rationale for hierarchy structure and task breakdown decisions
AC-1.1.6: Support for multiple project types (software development, research, business process)
AC-1.1.7: Automatic dependency detection with 85% accuracy
AC-1.1.8: Integration with existing project management tools and methodologies
Validation Methods
VM-1.1.1: Automated testing with sample projects of varying complexity (simple, medium, complex)
VM-1.1.2: Manual review of generated hierarchies by certified project management experts
VM-1.1.3: Performance testing with large-scale project scenarios (up to 5000 tasks)
VM-1.1.4: User acceptance testing with real project data from multiple domains
VM-1.1.5: Comparative analysis with manually created hierarchies
VM-1.1.6: Cross-validation with industry project management standards (PMI, PRINCE2)
Technical Implementation Requirements
TIR-1.1.1: Natural Language Processing engine for project description analysis
TIR-1.1.2: Machine learning model for complexity assessment and pattern recognition
TIR-1.1.3: Graph-based data structure for hierarchy representation and manipulation
TIR-1.1.4: Template engine with configurable project type templates
TIR-1.1.5: Dependency analysis algorithm with conflict detection and resolution
TIR-1.1.6: Performance optimization for real-time hierarchy generation
TIR-1.1.7: Integration APIs for external project management tools
FR-1.2: Multi-Level Task Structure Management
Requirement Statement
The system shall support unlimited nesting levels for task hierarchies with proper parent-child relationships, dependency management, and inheritance of properties.
Detailed Specifications
Unlimited Nesting: Support hierarchies with any number of levels
Relationship Management: Maintain clear parent-child relationships
Property Inheritance: Propagate relevant properties from parent to child tasks
Dependency Tracking: Track dependencies within and across hierarchy levels
Acceptance Criteria
AC-1.2.1: Support task hierarchies with up to 10 levels of nesting
AC-1.2.2: Maintain referential integrity across all hierarchy levels
AC-1.2.3: Automatically inherit priority, deadline, and resource constraints from parent tasks
AC-1.2.4: Provide visual representation of hierarchy structure
AC-1.2.5: Support bulk operations on hierarchy branches
Validation Methods
VM-1.2.1: Database integrity testing with complex hierarchies
VM-1.2.2: Performance testing with deep nesting scenarios
VM-1.2.3: User interface testing for hierarchy visualization
VM-1.2.4: Stress testing with large hierarchy modifications
FR-1.3: Dependency Graph Management
Requirement Statement
The system shall automatically identify, create, and manage task dependencies based on logical relationships, resource constraints, and sequential requirements.
Detailed Specifications
Automatic Dependency Detection: Identify logical dependencies between tasks
Dependency Types: Support various dependency types (finish-to-start, start-to-start, etc.)
Conflict Resolution: Detect and resolve dependency conflicts
Critical Path Analysis: Identify critical path through task network
Acceptance Criteria
AC-1.3.1: Automatically detect 90% of logical dependencies between tasks
AC-1.3.2: Support all standard dependency types (FS, SS, FF, SF)
AC-1.3.3: Detect and flag circular dependencies within 5 seconds
AC-1.3.4: Calculate critical path for projects with up to 1000 tasks
AC-1.3.5: Provide dependency impact analysis for task modifications
Validation Methods
VM-1.3.1: Algorithm testing with known dependency scenarios
VM-1.3.2: Performance testing with complex dependency networks
VM-1.3.3: Validation against project management best practices
VM-1.3.4: Integration testing with scheduling algorithms
π 2. DYNAMIC TASK DISCOVERY ENGINE
FR-2.1: Work Completion Analysis
Requirement Statement
The system shall continuously monitor task completion, analyze deliverables and work products, and identify additional requirements or tasks that become apparent during execution using advanced AI-powered analysis techniques.
Detailed Specifications
Deliverable Analysis: Examine completed work products for gaps, inconsistencies, or additional requirements using content analysis
Requirement Extraction: Identify new requirements from completed work using natural language processing and pattern recognition
Gap Analysis: Compare completed work against original requirements using semantic similarity and coverage analysis
Context Analysis: Understand work context to identify related tasks, dependencies, and integration requirements
Quality Assessment: Evaluate deliverable quality and identify areas requiring additional work or refinement
Stakeholder Impact Analysis: Assess how completed work affects other stakeholders and identify additional coordination needs
Technical Debt Detection: Identify technical shortcuts or incomplete implementations that require future attention
Integration Requirements: Analyze completed components for integration needs with other system parts
Acceptance Criteria
AC-2.1.1: Analyze completed work within 10 seconds of task completion with comprehensive reporting
AC-2.1.2: Identify 80% of additional requirements that become apparent during execution with 90% accuracy
AC-2.1.3: Generate detailed analysis reports for each completed task including gap analysis and recommendations
AC-2.1.4: Maintain comprehensive audit trail of all discovered requirements with source traceability
AC-2.1.5: Provide confidence scores (0-1 scale) for identified additional work with justification
AC-2.1.6: Support multiple deliverable types (documents, code, designs, data, processes)
AC-2.1.7: Integrate with version control systems to track changes and evolution
AC-2.1.8: Provide real-time notifications for high-priority discovered requirements
Validation Methods
VM-2.1.1: Testing with projects where additional requirements are known (blind validation)
VM-2.1.2: Comparison with manual requirement discovery processes by expert analysts
VM-2.1.3: Machine learning model validation with historical project data and outcomes
VM-2.1.4: Expert review of discovered requirements with statistical accuracy measurement
VM-2.1.5: Cross-validation with multiple project types and domains
VM-2.1.6: Performance testing under various load conditions and deliverable sizes
Technical Implementation Requirements
TIR-2.1.1: Content analysis engine with support for multiple file formats and media types
TIR-2.1.2: Natural language processing pipeline for requirement extraction from text
TIR-2.1.3: Semantic similarity engine for gap analysis and coverage assessment
TIR-2.1.4: Machine learning models trained on project completion patterns
TIR-2.1.5: Real-time processing capability with queue management for high-volume scenarios
TIR-2.1.6: Integration APIs for version control systems and project management tools
TIR-2.1.7: Notification system with configurable alerting and escalation rules
FR-2.2: Real-Time Task Generation
Requirement Statement
The system shall automatically generate new tasks and subtasks based on discovered requirements and integrate them into the existing task hierarchy without disrupting ongoing execution.
Detailed Specifications
Automatic Task Creation: Generate tasks from discovered requirements
Hierarchy Integration: Insert new tasks into appropriate hierarchy positions
Priority Assignment: Assign appropriate priorities to new tasks
Resource Allocation: Estimate resource requirements for new tasks
Acceptance Criteria
AC-2.2.1: Generate new tasks within 15 seconds of requirement discovery
AC-2.2.2: Integrate new tasks without disrupting active work streams
AC-2.2.3: Assign appropriate priorities based on project context
AC-2.2.4: Maintain hierarchy consistency after task insertion
AC-2.2.5: Notify relevant stakeholders of new task creation
Validation Methods
VM-2.2.1: Real-time testing with active project scenarios
VM-2.2.2: Integration testing with existing task management workflows
VM-2.2.3: Performance testing under high task generation loads
VM-2.2.4: User experience testing for notification systems
FR-2.3: Requirement Traceability
Requirement Statement
The system shall maintain complete traceability from discovered requirements to generated tasks, including the source of discovery and rationale for task creation.
Detailed Specifications
Source Tracking: Record the source of each discovered requirement
Rationale Documentation: Document the reasoning for task creation
Change History: Maintain history of all requirement discoveries
Impact Analysis: Track the impact of discovered requirements on project scope
Acceptance Criteria
AC-2.3.1: Maintain complete traceability for 100% of discovered requirements
AC-2.3.2: Provide detailed rationale for each generated task
AC-2.3.3: Support requirement impact analysis and reporting
AC-2.3.4: Enable rollback of dynamically generated tasks if needed
AC-2.3.5: Generate traceability reports for audit purposes
Validation Methods
VM-2.3.1: Audit trail verification with sample projects
VM-2.3.2: Traceability report validation
VM-2.3.3: Rollback functionality testing
VM-2.3.4: Compliance testing for audit requirements
π 3. CONTINUOUS EXECUTION LOOP CONTROLLER
FR-3.1: Execution State Management
Requirement Statement
The system shall maintain persistent execution state across all tasks and projects, enabling continuous execution loops that prevent premature completion and ensure comprehensive work delivery.
Detailed Specifications
State Persistence: Maintain execution state across system restarts
Progress Tracking: Track detailed progress at all hierarchy levels
Execution Context: Maintain context for continuous execution decisions
Recovery Mechanisms: Support graceful recovery from interruptions
Acceptance Criteria
AC-3.1.1: Maintain execution state with 99.9% persistence reliability
AC-3.1.2: Support graceful recovery within 30 seconds of system restart
AC-3.1.3: Track progress at all hierarchy levels with 1-second granularity
AC-3.1.4: Maintain execution context for up to 1000 concurrent projects
AC-3.1.5: Provide real-time execution status dashboards
Validation Methods
VM-3.1.1: System restart and recovery testing
VM-3.1.2: Concurrent execution stress testing
VM-3.1.3: State persistence validation under various failure scenarios
VM-3.1.4: Performance testing with large-scale execution scenarios
FR-3.2: Completion Validation Engine
Requirement Statement
The system shall implement robust completion validation that verifies genuine task completion, validates all deliverables, and prevents false completion signals.
Detailed Specifications
Deliverable Verification: Verify all required deliverables are present and complete
Quality Validation: Validate deliverable quality against defined criteria
Subtask Verification: Ensure all subtasks are genuinely complete
Additional Work Detection: Identify any additional work discovered during validation
Acceptance Criteria
AC-3.2.1: Validate task completion within 10 seconds
AC-3.2.2: Achieve 98% accuracy in completion validation
AC-3.2.3: Detect 95% of false completion attempts
AC-3.2.4: Verify deliverable presence and quality automatically
AC-3.2.5: Generate detailed completion validation reports
Validation Methods
VM-3.2.1: Testing with known incomplete tasks
VM-3.2.2: Validation accuracy measurement with expert review
VM-3.2.3: False positive/negative rate analysis
VM-3.2.4: Automated deliverable verification testing
FR-3.3: Project Objective Tracking
Requirement Statement
The system shall continuously track project objectives and ensure execution continues until all objectives are verifiably achieved, preventing premature project completion.
Detailed Specifications
Objective Definition: Support clear definition of project objectives
Progress Measurement: Measure progress toward each objective
Completion Criteria: Define specific criteria for objective achievement
Verification Process: Implement verification process for objective completion
Acceptance Criteria
AC-3.3.1: Track progress toward objectives with 95% accuracy
AC-3.3.2: Prevent project completion until all objectives are achieved
AC-3.3.3: Provide real-time objective achievement dashboards
AC-3.3.4: Support multiple objective types and measurement methods
AC-3.3.5: Generate objective achievement verification reports
Validation Methods
VM-3.3.1: Objective tracking accuracy testing
VM-3.3.2: Premature completion prevention testing
VM-3.3.3: Dashboard functionality validation
VM-3.3.4: Multi-objective project testing
π― 4. SMART TASK BREAKDOWN ANALYZER
FR-4.1: Complexity Analysis Engine
Requirement Statement
The system shall analyze task complexity using multiple factors and automatically determine optimal task breakdown strategies for maximum execution efficiency.
Detailed Specifications
Multi-Factor Analysis: Consider technical complexity, resource requirements, dependencies
Breakdown Optimization: Determine optimal task size and structure
Efficiency Metrics: Calculate efficiency metrics for different breakdown approaches
Learning Algorithms: Improve breakdown decisions based on historical data
Acceptance Criteria
AC-4.1.1: Analyze task complexity within 5 seconds
AC-4.1.2: Achieve 90% accuracy in optimal breakdown determination
AC-4.1.3: Consider minimum 5 complexity factors in analysis
AC-4.1.4: Improve breakdown accuracy by 10% through learning
AC-4.1.5: Provide detailed complexity analysis reports
Validation Methods
VM-4.1.1: Complexity analysis accuracy testing with expert validation
VM-4.1.2: Breakdown optimization effectiveness measurement
VM-4.1.3: Learning algorithm performance validation
VM-4.1.4: Historical data analysis for improvement verification
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5. COMPLETION VALIDATION SYSTEM
FR-5.1: Deliverable Verification Engine
Requirement Statement
The system shall automatically verify that all required deliverables are created, complete, and meet defined quality standards before allowing task completion.
Detailed Specifications
Deliverable Detection: Automatically detect and catalog deliverables
Completeness Verification: Verify deliverable completeness against requirements
Quality Assessment: Assess deliverable quality using defined criteria
Standards Compliance: Verify compliance with organizational standards
Acceptance Criteria
AC-5.1.1: Detect 95% of required deliverables automatically
AC-5.1.2: Verify deliverable completeness with 98% accuracy
AC-5.1.3: Assess quality using configurable criteria
AC-5.1.4: Generate detailed verification reports
AC-5.1.5: Support multiple deliverable types and formats
Validation Methods
VM-5.1.1: Deliverable detection accuracy testing
VM-5.1.2: Completeness verification validation
VM-5.1.3: Quality assessment accuracy measurement
VM-5.1.4: Multi-format deliverable testing
FR-5.2: Hierarchical Completion Validation
Requirement Statement
The system shall implement bottom-up completion validation ensuring all subtasks are genuinely complete before allowing parent task completion.
Detailed Specifications
Bottom-Up Validation: Validate completion from leaf tasks upward
Dependency Verification: Verify all dependencies are satisfied
Rollup Logic: Implement proper completion rollup logic
Exception Handling: Handle special cases and exceptions
Acceptance Criteria
AC-5.2.1: Implement bottom-up validation for all hierarchy levels
AC-5.2.2: Verify dependency satisfaction before completion
AC-5.2.3: Prevent parent completion with incomplete children
AC-5.2.4: Handle validation exceptions appropriately
AC-5.2.5: Provide detailed validation status at all levels
Validation Methods
VM-5.2.1: Hierarchical validation testing with complex structures
VM-5.2.2: Dependency satisfaction verification
VM-5.2.3: Exception handling testing
VM-5.2.4: Validation logic correctness verification
Next Step: Technical Requirements Definition and Implementation Architecture
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