Feature Specification: WebKit Memory Optimization
Feature Branch: 005-webkit-memory-optimization
Created: 2025-01-10
Status: Draft
Input: User description: "webkit-memory-optimization"
Execution Flow (main)
1. Parse user description from Input
→ Feature: Reduce WebKit browser memory usage from ~400MB per instance
2. Extract key concepts from description
→ Actors: browser users, system administrators
→ Actions: browse websites with lower memory footprint
→ Data: memory usage metrics, configuration settings
→ Constraints: maintain browsing stability and reasonable performance
3. For each unclear aspect:
→ No major ambiguities identified
4. Fill User Scenarios & Testing section
→ Primary scenario: user browses multiple websites without high memory usage
5. Generate Functional Requirements
→ Each requirement focuses on memory reduction and monitoring capabilities
6. Identify Key Entities
→ Memory configurations, usage statistics, optimization settings
7. Run Review Checklist
→ No [NEEDS CLARIFICATION] markers present
→ Implementation details excluded from spec
8. Return: SUCCESS (spec ready for planning)
⚡ Quick Guidelines
- ✅ Focus on WHAT users need and WHY
- ❌ Avoid HOW to implement (no tech stack, APIs, code structure)
- 👥 Written for business stakeholders, not developers
User Scenarios & Testing (mandatory)
Primary User Story
As a browser user, I want the browser to consume significantly less memory (40-60% reduction from current ~400MB per website) so that I can keep more browser instances open on my system without experiencing performance degradation or running out of memory.
Acceptance Scenarios
- Given a browser instance with default settings, When I navigate to a typical website, Then the browser should consume no more than 250MB of memory
- Given I have browsed to 50 different web pages, When I check memory usage, Then memory consumption should remain stable and not exceed reasonable limits due to memory leaks
- Given memory optimization is enabled, When the browser approaches memory limits, Then it should automatically clean up memory and maintain responsive performance
- Given I configure memory optimization settings, When I restart the browser, Then my memory preferences should be preserved and applied
Edge Cases
- What happens when memory pressure is extremely high (system running out of RAM)?
- How does the system handle memory optimization on low-memory devices (<4GB RAM)?
- What occurs when a single webpage requires more memory than the configured limit?
Requirements (mandatory)
Functional Requirements
- FR-001: System MUST reduce per-browser-instance memory usage by 40-60% compared to current baseline (~400MB to 150-250MB)
- FR-002: System MUST provide configurable memory limits and thresholds for different usage scenarios
- FR-003: Users MUST be able to choose between memory-optimized, balanced, and performance-optimized configurations
- FR-004: System MUST automatically trigger memory cleanup when approaching configured memory limits
- FR-005: System MUST monitor and report memory usage statistics for transparency
- FR-006: System MUST maintain browser stability and prevent crashes during memory optimization
- FR-007: System MUST preserve essential browsing functionality (navigation, page rendering, basic JavaScript support)
- FR-008: Users MUST be able to manually trigger memory cleanup operations
- FR-009: System MUST support process recycling to prevent long-term memory accumulation
- FR-010: System MUST log memory optimization events for debugging and monitoring purposes
Key Entities (include if feature involves data)
- Memory Configuration: Settings that control memory optimization behavior, including memory limits, cleanup thresholds, caching policies, and garbage collection intervals
- Memory Statistics: Real-time and historical data about browser memory usage, including RSS memory, virtual memory, page load counts, and cleanup events
- Optimization Preset: Pre-configured sets of memory settings for different use cases (low-memory devices, balanced performance, high-performance scenarios)
Review & Acceptance Checklist
GATE: Automated checks run during main() execution
Content Quality
- No implementation details (languages, frameworks, APIs)
- Focused on user value and business needs
- Written for non-technical stakeholders
- All mandatory sections completed
Requirement Completeness
- No [NEEDS CLARIFICATION] markers remain
- Requirements are testable and unambiguous
- Success criteria are measurable
- Scope is clearly bounded
- Dependencies and assumptions identified
Execution Status
Updated by main() during processing
- User description parsed
- Key concepts extracted
- Ambiguities marked
- User scenarios defined
- Requirements generated
- Entities identified
- Review checklist passed