# Feature Acceptance Criteria

## Overview

This document outlines the acceptance criteria for key features of the Animal Genetics Research Platform. These criteria define the conditions that must be met for features to be considered complete and ready for release. They serve as a reference for development teams, testers, and stakeholders to ensure alignment on feature expectations.

## Acceptance Testing Approach

Each feature in the platform undergoes a structured acceptance testing process:

1. **Verification against requirements**: Confirming that the feature implements all specified functional requirements
2. **Validation with user personas**: Testing with representatives of target user groups
3. **Integration testing**: Ensuring the feature works correctly with other system components
4. **Performance evaluation**: Verifying the feature meets performance requirements
5. **Security assessment**: Confirming the feature adheres to security standards

## Core Feature Acceptance Criteria

### User Authentication and Access Control

| ID         | Feature                     | Acceptance Criteria                                                                                                                                                                                                                                    |
| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| AC-AUTH-01 | OAuth 2.0 Authentication    | <p>- Users can authenticate using institutional OAuth providers<br>- Authentication flow completes in under 5 seconds<br>- Failed authentication provides clear error messages<br>- Successful login redirects to appropriate role-based dashboard</p> |
| AC-AUTH-02 | Role-Based Access Control   | <p>- Users can only access features appropriate to their role<br>- Administrators can assign and modify user roles<br>- Role changes take effect immediately<br>- Attempting to access unauthorized features returns appropriate error</p>             |
| AC-AUTH-03 | Multi-Factor Authentication | <p>- Users can enable/disable MFA from profile settings<br>- MFA setup process includes clear instructions<br>- Recovery options are provided during setup<br>- Authentication remains secure even if primary device is lost</p>                       |

### Farmer Interface

| ID         | Feature                         | Acceptance Criteria                                                                                                                                                                                                                                                                         |
| ---------- | ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| AC-FARM-01 | Livestock Performance Dashboard | <p>- Dashboard loads within 3 seconds<br>- All metrics are clearly labeled and explained<br>- Data visualizations are responsive and interactive<br>- Farmers can customize dashboard layout and metrics<br>- Performance data updates in real-time when new records are added</p>          |
| AC-FARM-02 | Animal Data Collection          | <p>- Forms support all required livestock data fields<br>- Validation prevents common data entry errors<br>- Offline data collection works without connectivity<br>- Batch import supports standard file formats<br>- Data synchronizes correctly when connectivity is restored</p>         |
| AC-FARM-03 | Breeding Recommendations        | <p>- Recommendations are based on current flock data<br>- Explanations are provided in non-technical language<br>- Farmers can adjust criteria and regenerate recommendations<br>- Recommendations account for farm-specific constraints<br>- Implementation steps are clearly outlined</p> |

### Researcher Environment

| ID        | Feature                | Acceptance Criteria                                                                                                                                                                                                                                                                     |
| --------- | ---------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| AC-RES-01 | RStudio Integration    | <p>- Environment launches within 10 seconds<br>- All required genetics packages are pre-installed<br>- Direct access to platform datasets is functional<br>- Code and session state persist between logins<br>- Performance supports analysis of datasets up to 10GB</p>                |
| AC-RES-02 | Genomic Analysis Tools | <p>- All specified bioinformatics tools are accessible<br>- Analysis pipelines execute correctly on test datasets<br>- Results are reproducible across sessions<br>- Visualizations render correctly in all supported browsers<br>- Export functions preserve all data and metadata</p> |
| AC-RES-03 | Breeding Simulation    | <p>- Simulation parameters cover all required variables<br>- Multi-generation simulations complete in reasonable time<br>- Results are statistically valid and reproducible<br>- Visualizations clearly communicate outcomes<br>- Comparison between scenarios is intuitive</p>         |

### Sheep Genetics Database

| ID       | Feature                  | Acceptance Criteria                                                                                                                                                                                                                                                                              |
| -------- | ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| AC-DB-01 | Animal Record Management | <p>- Complete CRUD operations for all animal entities<br>- Pedigree relationships maintain integrity<br>- Duplicate detection prevents record errors<br>- Performance supports flocks of 10,000+ animals<br>- Audit trail tracks all record modifications</p>                                    |
| AC-DB-02 | Genetic Evaluation       | <p>- Breeding values calculate correctly for test datasets<br>- Calculation performance scales linearly with data size<br>- Results match validated reference implementations<br>- Updates propagate correctly through pedigree<br>- Historical evaluations are preserved for trend analysis</p> |
| AC-DB-03 | Data Import/Export       | <p>- All specified file formats are supported<br>- Field mapping is intuitive and flexible<br>- Validation prevents import of corrupt data<br>- Export includes all relevant metadata<br>- Large operations complete without timeout</p>                                                         |

### Emilia AI Integration

| ID       | Feature                    | Acceptance Criteria                                                                                                                                                                                                                                                                                          |
| -------- | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| AC-AI-01 | Natural Language Query     | <p>- System correctly interprets 90%+ of test queries<br>- Response time averages under 2 seconds<br>- Responses include relevant citations<br>- System handles ambiguity with clarification requests<br>- Context is maintained throughout conversation</p>                                                 |
| AC-AI-02 | Farmer-Specific Assistance | <p>- Explanations use appropriate non-technical language<br>- Breeding recommendations are practical and actionable<br>- Responses reference farm-specific context when available<br>- Image analysis correctly identifies common livestock conditions<br>- Follow-up questions are handled contextually</p> |
| AC-AI-03 | Researcher Support         | <p>- Literature recommendations are relevant to query context<br>- Statistical guidance is technically accurate<br>- Code suggestions follow best practices<br>- Complex genetic concepts are explained accurately<br>- Citations link to accessible references</p>                                          |

### Collaboration Features

| ID           | Feature                      | Acceptance Criteria                                                                                                                                                                                                                                                                          |
| ------------ | ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| AC-COLLAB-01 | Researcher-Farmer Connection | <p>- Connection requests include appropriate context<br>- Both parties must confirm collaboration<br>- Communication tools support text and file sharing<br>- Privacy controls protect sensitive information<br>- Activity tracking shows recent interactions</p>                            |
| AC-COLLAB-02 | Research Project Spaces      | <p>- Projects support multiple collaborator roles<br>- Resource sharing respects access permissions<br>- Notifications alert members to relevant activity<br>- Version control preserves document history<br>- Export options support publication workflows</p>                              |
| AC-COLLAB-03 | Knowledge Sharing            | <p>- Research summaries use appropriate language for target audience<br>- Formatting preserves visual elements and citations<br>- Feedback mechanism allows recipient questions<br>- Analytics track engagement with shared content<br>- Content is discoverable through platform search</p> |

### Mobile Access

| ID        | Feature               | Acceptance Criteria                                                                                                                                                                                                                                                   |
| --------- | --------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| AC-MOB-01 | Responsive Design     | <p>- All critical features function on mobile devices<br>- Interface adapts appropriately to screen sizes<br>- Touch interactions work intuitively<br>- Performance is acceptable on mid-range devices<br>- Battery usage is optimized for field conditions</p>       |
| AC-MOB-02 | Offline Functionality | <p>- Critical data collection works without connectivity<br>- Local storage limits are appropriate for typical usage<br>- Sync conflicts are resolved intelligently<br>- Users are notified of sync status<br>- Data integrity is maintained through sync process</p> |
| AC-MOB-03 | Field Data Collection | <p>- Forms are optimized for quick mobile entry<br>- Camera integration works for animal identification<br>- GPS tagging is accurate within 10 meters<br>- Voice input is available for notes<br>- Entry process completes in under 30 seconds per animal</p>         |

## Persona-Specific Acceptance Criteria

### Farmer Acceptance

For features to be accepted by the Farmer persona, they must:

1. Present information in clear, non-technical language
2. Provide practical, actionable recommendations
3. Function efficiently in field conditions with variable connectivity
4. Demonstrate clear value in terms of time saved or improved outcomes
5. Integrate with existing farm management workflows

### Researcher Acceptance

For features to be accepted by the Researcher persona, they must:

1. Provide technically accurate and comprehensive analysis capabilities
2. Support reproducible research practices
3. Handle complex genomic datasets efficiently
4. Facilitate collaboration with peers and farmers
5. Support publication and knowledge dissemination workflows

### Student Acceptance

For features to be accepted by the Student persona, they must:

1. Include clear explanations and learning resources
2. Provide appropriate scaffolding for skill development
3. Support supervised participation in research
4. Track progress toward learning objectives
5. Facilitate interaction with instructors and mentors

### Administrator Acceptance

For features to be accepted by the Administrator persona, they must:

1. Provide comprehensive monitoring and management capabilities
2. Support efficient user and permission management
3. Ensure system security and data protection
4. Offer clear visibility into system performance
5. Enable effective user support and problem resolution

## Performance Acceptance Criteria

All features must meet these minimum performance requirements:

| Metric               | Requirement                                                            |
| -------------------- | ---------------------------------------------------------------------- |
| Page Load Time       | < 2 seconds for standard pages, < 5 seconds for data-intensive pages   |
| Transaction Response | < 1 second for simple transactions, < 3 seconds for complex operations |
| Search Response      | < 2 seconds for standard search, < 5 seconds for advanced search       |
| Concurrent Users     | System maintains performance with 500+ simultaneous users              |
| Data Processing      | Handles datasets up to 10GB with linear scaling                        |
| API Response         | 95% of API calls complete in < 500ms                                   |
| Availability         | 99.9% uptime during business hours, 99% overall                        |

## Security Acceptance Criteria

All features must meet these security requirements:

1. All data transmission uses TLS 1.2 or higher
2. Sensitive data is encrypted at rest using industry-standard algorithms
3. Authentication follows OWASP security best practices
4. Authorization checks are enforced at both UI and API levels
5. Input validation prevents common injection attacks
6. Audit logging captures all security-relevant events
7. Compliance with relevant data protection regulations is maintained

## Accessibility Acceptance Criteria

All features must meet these accessibility requirements:

1. Compliance with WCAG 2.1 AA standards
2. Keyboard navigation for all functions
3. Screen reader compatibility for critical features
4. Sufficient color contrast for all text and controls
5. Text resizing without loss of functionality
6. Alternative text for all informational images
7. No reliance on color alone for conveying information

## User Acceptance Testing Process

The final acceptance of features involves structured testing with actual users:

1. **Test Planning**: Define scenarios based on acceptance criteria
2. **Participant Selection**: Recruit representatives from each persona
3. **Guided Testing**: Observe users completing defined tasks
4. **Feedback Collection**: Gather qualitative and quantitative feedback
5. **Issue Prioritization**: Categorize and prioritize identified issues
6. **Remediation**: Address critical issues before release
7. **Verification**: Confirm fixes with follow-up testing

## Acceptance Sign-off

Feature acceptance requires formal sign-off from:

1. Product Owner
2. Quality Assurance Lead
3. Representative from each relevant persona group
4. Technical Architect
5. Security Officer (for features with security implications)

Only after all required sign-offs are obtained will a feature be considered ready for production release.


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