🎯 User Story

As a development team, I want Firebase Crashlytics crashes to automatically create Jira issues so that we can track and prioritize app crashes efficiently without manual intervention.

📋 Story Description

Implement an automated integration between Firebase Crashlytics and Jira to streamline crash reporting and bug tracking for the Flutter mobile application.

✅ Acceptance Criteria

Core Functionality:

1. Crash Detection: When a crash occurs in the Flutter app and is reported to Firebase Crashlytics

2. Automatic Issue Creation: System automatically creates a new Jira issue in the SMR project

3. Intelligent Deduplication: Prevent duplicate issues for the same crash/error type

4. Proper Categorization: Issues are created with appropriate labels, priority, and epic assignment

Issue Details Requirements:

• Title: Clear, descriptive crash summary

• Description: Stack trace, device info, app version, crash frequency

• Labels: CRASHLYTICS, AUTO-GENERATED, FLUTTER

• Epic Link: SMR-2 (Flutter)

• Priority: Auto-assigned based on crash frequency/severity

• Components: Flutter, Mobile

Advanced Features:

• Crash Grouping: Group similar crashes into single issues

• Frequency Tracking: Update existing issues with crash count and new occurrences

• Severity Assessment: High-frequency crashes get higher priority

• Environment Context: Include device type, OS version, app version in description

🛠️ Technical Implementation

Integration Options:

1. Firebase Functions: Cloud function triggered by new Crashlytics events

2. Webhook Integration: Direct webhook from Firebase to Jira API

3. Scheduled Sync: Regular polling of Crashlytics data

Required Configurations:

• Firebase project setup with Crashlytics enabled

• Jira API authentication and permissions

• Mapping rules for crash types to issue priorities

• Deduplication logic based on stack trace fingerprints

📊 Business Value

Benefits:

• Faster Response: Immediate awareness of app crashes

• Better Tracking: All crashes documented and prioritized

• Data-Driven: Crash frequency data helps prioritize fixes

• Reduced Manual Work: No manual crash report creation needed

• Improved Quality: Systematic tracking leads to better app stability

Success Metrics:

• 100% crash coverage: All crashes automatically tracked

• <5 minute delay: Issues created within 5 minutes of crash

• 0 duplicates: Intelligent deduplication working correctly

• Proper prioritization: High-frequency crashes flagged appropriately

🔧 Implementation Tasks

Phase 1: Basic Integration

• [ ] Set up Firebase Crashlytics in Flutter app

• [ ] Configure Jira API credentials and permissions

• [ ] Implement basic crash-to-issue creation

• [ ] Test with sample crashes

Phase 2: Intelligence & Optimization

• [ ] Implement crash deduplication logic

• [ ] Add frequency-based priority assignment

• [ ] Include comprehensive device/environment data

• [ ] Create crash grouping algorithms

Phase 3: Monitoring & Refinement

• [ ] Set up monitoring for integration health

• [ ] Fine-tune priority and grouping rules

• [ ] Add reporting dashboard for crash trends

• [ ] Optimize performance and reliability

🎯 Epic Context

Epic: SMR-2 (Flutter) - Mobile app improvements and bug fixes

This story enhances the Flutter development workflow by providing automated crash tracking and issue management, improving overall app quality and development efficiency.

📅 Priority & Timing

Priority: Medium - Infrastructure improvement that benefits long-term development efficiency

Estimated Effort: 2-3 sprints (backend integration + testing + refinement)

Dependencies: Firebase project access, Jira API permissions"