Coverity Metrics Dashboard - {{ timestamp }}

{% if current_instance %}

← Back to All Instances

{% endif %} {% if all_projects %}

{% endif %} {% if current_instance and instance_info %}

⚙️ Instance Information

{% if instance_info.coverity_version %}

Coverity Version

{% if instance_info.coverity_build %}

Build: {{ instance_info.coverity_build }}

{% endif %}

{% endif %} {% if instance_info.db_uptime_formatted %}

Database Uptime

{% if instance_info.db_start_time %}

Started: {{ instance_info.db_start_time.strftime('%Y-%m-%d %H:%M') if instance_info.db_start_time.strftime else instance_info.db_start_time }}

{% endif %}

{% endif %} {% if instance_info.first_snapshot %}

System Active Period

{{ instance_info.usage_period_days }} days

Since: {{ instance_info.first_snapshot.strftime('%Y-%m-%d') if instance_info.first_snapshot.strftime else instance_info.first_snapshot }}

{% endif %} {% if instance_info.last_activity_formatted %}

Last Activity

{% if instance_info.last_snapshot %}

{{ instance_info.last_snapshot.strftime('%Y-%m-%d %H:%M') if instance_info.last_snapshot.strftime else instance_info.last_snapshot }}

{% endif %}

{% endif %} {% if instance_info.database_name %}

Database

{% if instance_info.active_connections %}

{{ instance_info.active_connections }} active connections

{% endif %}

{% endif %} {% if instance_info.system_unique_id %}

System ID

{% endif %}

{% if not current_project %} {% endif %} {% if current_project and owasp_metrics %} {% endif %} {% if current_project and cwe_top25_metrics %} {% endif %}

Total Projects

Active Streams

Active Defects

High Severity

Total Files

Lines of Code

{{ "{:,}".format(summary.total_loc) }}

Functions

Active Users

{% if high_severity_alert %}

Alert! {{ summary.high_severity_defects }} high-severity defects require immediate attention.

{% endif %} {% if analysis_versions and analysis_versions|length > 0 %}

📊 Top Analysis Versions Used {% if current_project %} - Project: {{ current_project }} {% elif current_instance %} - Instance: {{ current_instance }} {% else %} - All Instances {% endif %}

{% for ver in analysis_versions %} {% endfor %}

#	Analysis Version	Snapshots	First Used	Last Used
{{ loop.index }}	{{ ver.version }}	{{ ver.snapshot_count }}	{% if ver.first_used %} {{ ver.first_used.strftime('%Y-%m-%d %H:%M') if ver.first_used.strftime else ver.first_used }} {% else %} N/A {% endif %}	{% if ver.last_used %} {{ ver.last_used.strftime('%Y-%m-%d %H:%M') if ver.last_used.strftime else ver.last_used }} {% else %} N/A {% endif %}

{% endif %}

Defects by Severity

{% for row in defects_by_severity %} {% endfor %}

Severity	Count	Percentage
{{ row.impact }}	{{ row.defect_count }}	{{ (row.defect_count / summary.total_defects * 100)\|round(1) }}%

Defects by Project

{% for row in defects_by_project %} {% endfor %}

Project Name	Total Defects	Active	Fixed
{{ row.project_name }}	{{ row.defect_count }}	{{ row.active_defects }}	{{ row.fixed_defects }}

Top Defect Categories

{% for row in defects_by_category[:10] %} {% endfor %}

Category	Count
{{ row.category }}	{{ row.defect_count }}

Defect Density (per KLOC)

{% for row in defect_density %} {% endfor %}

Stream	Defects/KLOC	Total LOC
{{ row.stream_name }}	{{ row.defects_per_kloc }}	{{ "{:,}".format(row.total_loc) }}

File Hotspots - Top Problem Files

{% if file_hotspots|length > 0 %}

Attention Required: These files have the highest defect concentrations.

{% for row in file_hotspots[:15] %} {% endfor %}

File Path	Defect Count	LOC	Defects/KLOC
`{{ row.file_path }}`	{{ row.defect_count }}	{{ row.loc }}	{{ row.defects_per_kloc }}

{% else %}

No significant file hotspots detected. Great job!

{% endif %}

Code Quality Metrics by Stream

{% for row in code_metrics %} {% endfor %}

Stream	Files	Total LOC	Avg File LOC	Comment Ratio
{{ row.stream_name }}	{{ row.file_count }}	{{ "{:,}".format(row.total_loc) }}	{{ row.avg_file_loc\|round(0)\|int }}	{{ row.comment_ratio_pct }}%

{% if complexity_distribution|length > 0 %}

Function Complexity Distribution

{% for row in complexity_distribution %} {% endfor %}

Complexity Range	Function Count	Average Complexity
{{ row.complexity_range }}	{{ row.function_count }}	{{ row.avg_complexity }}

{% endif %}

Top Defect Checkers

{% for row in top_checkers[:15] %} {% endfor %}

Checker Name	Category	Impact	Count
{{ row.checker_name }}	{{ row.category }}	{{ row.impact }}	{{ row.defect_count }}

{% if triage_summary %}

Current Triage Progress

Total Outstanding

Classified

Unclassified

Triage Completion

{{ (triage_summary.triage_completion_percentage|round(1)) if triage_summary.triage_completion_percentage else '0' }}%

Bugs Confirmed

False Positives

Intentional

Action Assigned

{% endif %} {% if tech_debt_summary and tech_debt_summary.total_defects > 0 %}

💰 Estimated Technical Debt

Estimated effort required to remediate all outstanding defects based on impact levels. Formula: High (4h), Medium (2h), Low (1h), Unspecified (0.5h)

Total Estimated Hours

Work Days (8h/day)

Work Weeks (5d/wk)

Avg Hours/Defect

🔴 High Impact Debt

{{ tech_debt_summary.breakdown.High.defects }} defects ({{ tech_debt_summary.breakdown.High.hours }}h)

🟡 Medium Impact Debt

{{ tech_debt_summary.breakdown.Medium.defects }} defects ({{ tech_debt_summary.breakdown.Medium.hours }}h)

🟢 Low Impact Debt

{{ tech_debt_summary.breakdown.Low.defects }} defects ({{ tech_debt_summary.breakdown.Low.hours }}h)

⚪ Unspecified Impact Debt

{{ tech_debt_summary.breakdown.Unspecified.defects }} defects ({{ tech_debt_summary.breakdown.Unspecified.hours }}h)

💡 Note: These estimates are based on industry-standard effort levels per defect impact. Actual remediation time may vary based on code complexity, team experience, and defect context.

{% endif %} {% if trend_summary and trend_summary.total_new %}

📊 Defect Introduction vs Fix Velocity ({{ trend_period_text }})

Trend Status: {% if trend_summary.trend_direction == 'improving' %} ✅ IMPROVING - Fixing defects faster than introducing new ones {% elif trend_summary.trend_direction == 'declining' %} ⚠️ DECLINING - Introducing defects faster than fixing them {% else %} ℹ️ STABLE - Introduction and fix rates are balanced {% endif %}

Avg New Defects/Day

{{ (trend_summary.avg_new_per_day|round(1)) if trend_summary.avg_new_per_day else '0' }} ↑

Avg Fixed Defects/Day

{{ (trend_summary.avg_fixed_per_day|round(1)) if trend_summary.avg_fixed_per_day else '0' }} ↓

Net Change

{{ ('+' if trend_summary.net_change > 0 else '') if trend_summary.net_change else '' }}{{ trend_summary.net_change if trend_summary.net_change else '0' }}

Fix Rate Efficiency

{{ (trend_summary.fix_rate_pct|round(1)) if trend_summary.fix_rate_pct else '0' }}%

Total New (90d)

Total Fixed (90d)

{% endif %} {% if cumulative_trends|length > 0 %}

Cumulative Defect Introduction & Fix Trends

{% for row in cumulative_trends[-20:] %} {% endfor %}

Date	Daily New	Daily Fixed	Cumulative New	Cumulative Fixed	Cumulative Net
{{ row.snapshot_date }}	{{ row.daily_new }}	{{ row.daily_fixed }}	{{ row.cumulative_new }}	{{ row.cumulative_fixed }}	{{ '+' if row.cumulative_net > 0 else '' }}{{ row.cumulative_net }}

{% endif %} {% if defect_velocity|length > 0 %}

Daily Defect Introduction & Fix Velocity

{% for row in defect_velocity[-30:] %} {% endfor %}

Date	New	Fixed	Net Change	Outstanding	Fix Efficiency %
{{ row.snapshot_date }}	{{ row.new_count }}	{{ row.fixed_count }}	{{ '+' if row.net_change > 0 else '' }}{{ row.net_change }}	{{ row.outstanding\|int }}	{{ row.fix_efficiency_pct }}%

{% endif %} {% if fix_rate_metrics %}

Fix Rate & Velocity ({{ trend_period_text }})

Total Defects

Fixed Defects

Fix Rate

{{ fix_rate_metrics.fix_rate_percentage }}%

Avg Days to Fix

{{ (fix_rate_metrics.avg_days_to_fix|round(1)) if fix_rate_metrics.avg_days_to_fix else 'N/A' }}

Median Fix Time

{{ (fix_rate_metrics.median_days_to_fix|round(1)) if fix_rate_metrics.median_days_to_fix else 'N/A' }} days

Fastest Fix

{{ (fix_rate_metrics.min_days_to_fix|round(1)) if fix_rate_metrics.min_days_to_fix else 'N/A' }} days

Slowest Fix

{{ (fix_rate_metrics.max_days_to_fix|round(1)) if fix_rate_metrics.max_days_to_fix else 'N/A' }} days

{% endif %} {% if defect_trends|length > 0 %}

Defect Trends Over Time ({{ trend_period_text }})

{% for row in defect_trends %} {% endfor %}

Period	New Defects	Fixed Defects	Outstanding	Net Change
{{ row.period }}	{{ row.new_defects or 0 }}	{{ row.fixed_defects or 0 }}	{{ row.outstanding_defects\|int }}	{{ '+' if row.net_change > 0 else '' }}{{ row.net_change or 0 }}

{% endif %} {% if defect_aging|length > 0 %}

Outstanding Defect Age Distribution

Info: This shows how long outstanding defects have been open.

{% for row in defect_aging %} {% endfor %}

Age Range	Defect Count	Avg Age (Days)	High	Medium	Low
{{ row.age_range }}	{{ row.defect_count }}	{{ row.avg_age_days }}	{{ row.high_severity }}	{{ row.medium_severity }}	{{ row.low_severity }}

{% endif %} {% if triage_trends|length > 0 %}

Triage Activity Trends ({{ trend_period_text }})

{% for row in triage_trends[:50] %} {% endfor %}

Date	Classification	Action	Count
{{ row.detected_date }}	{{ row.classification }}	{{ row.action }}	{{ row.count }}

{% endif %}

{% if not current_project %}

{% if user_activity_stats %}

👥 User Activity & License Statistics ({{ trend_period_text }})

Licensed Users

Total user licenses

Users with Login

{{ user_activity_stats.login_user_percentage }}% of licenses

Active Users

{{ user_activity_stats.active_user_percentage }}% of licenses

Inactive Licenses

{{ user_activity_stats.total_licensed_users - user_activity_stats.active_users }}

{{ (100 - user_activity_stats.active_user_percentage)|round(1) }}% of licenses

Activity Summary: {% if user_activity_stats.active_user_percentage >= 50 %} Good license utilization! {{ user_activity_stats.active_user_percentage }}% of users are actively using Coverity (commits or triage) in the last {{ trend_period_text.lower() }}. {% elif user_activity_stats.active_user_percentage >= 30 %} Moderate license utilization. {{ user_activity_stats.active_user_percentage }}% of users are actively using Coverity. Consider user engagement improvements. {% else %} Low license utilization detected. Only {{ user_activity_stats.active_user_percentage }}% of users are actively using Coverity. Review license allocation and user training. {% endif %}

📊 Definition of Activity:

Licensed Users: All user accounts in the system (not deleted)
Users with Login: Users who have logged in at least once (ever)
Active Users: Users who logged in OR performed triage actions within {{ trend_period_text.lower() }}
Inactive Licenses: Licensed users without recent activity

{% endif %}

Database Statistics

Database Size

Total Snapshots

Avg Commit Time

{{ commit_stats.avg_duration_seconds }}s

Total Commits

Largest Database Tables

{% for row in largest_tables %} {% endfor %}

Table Name	Size
`{{ row.table_name }}`	{{ row.size }}

Analysis/Commit Performance

Min Commit Time

{{ commit_stats.min_duration_seconds }} sec

Max Commit Time

{{ commit_stats.max_duration_seconds }} sec

Avg Files/Commit

Avg New Defects/Commit

Recent Snapshot Performance

{% for row in snapshot_performance %} {% endfor %}

Date ▲▼	Stream ▲▼	Total Defects ▲▼	New/Eliminated ▲▼	Files ▲▼	Duration ▲▼	Queue Time ▲▼
{{ row.date_created.strftime('%Y-%m-%d %H:%M') if row.date_created else 'N/A' }}	{{ row.stream_name }}	{{ row.total_defect_count or 0 }}	+{{ row.new_defect_count or 0 }} -{{ row.eliminated_defect_count or 0 }}	{{ row.total_file_count or 0 }}	{{ row.duration_seconds or 0 }} sec	{{ row.queue_time_seconds or 0 }} sec

{% if defect_discovery|length > 0 %}

Defect Discovery Rate ({{ trend_period_text }})

{% for row in defect_discovery[:30] %} {% endfor %}

Date	Snapshots	New Defects	Eliminated	Files Analyzed
{{ row.snapshot_date }}	{{ row.snapshot_count }}	{{ row.new_defects or 0 }}	{{ row.eliminated_defects or 0 }}	{{ row.files_analyzed or 0 }}

{% endif %}

{% if top_projects_by_fix_rate or most_improved_projects or top_projects_by_triage or top_users_by_fixes or top_triagers or most_collaborative_users %}

{% if current_project %}

🏆 Individual Contributors

Recognizing top contributors in defect resolution, triage activity, and collaboration for this project.

{% else %}

🏆 Team Leaderboards

Recognizing top performers in defect resolution, triage activity, and continuous improvement.

{% endif %}

{% if not current_project %}

📊 Project Performance

{% if top_projects_by_fix_rate and top_projects_by_fix_rate|length > 0 %}

🚀 Fastest Fix Velocity

Projects with highest defect elimination rate (Last 30 Days)

{% for row in top_projects_by_fix_rate %} {% endfor %}

Rank	Project	Fixes	Avg/Day
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.project_name }}	{{ row.eliminated_defects }}	{{ row.avg_fixes_per_day\|round(2) }}

{% endif %} {% if most_improved_projects and most_improved_projects|length > 0 %}

📈 Most Improved

Projects with best improvement percentage (Last 90 Days)

{% for row in most_improved_projects %} {% endfor %}

Rank	Project	Improvement	Net Change
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.project_name }}	{{ row.improvement_percentage\|round(1) }}%	{{ row.net_change\|int }}

{% endif %} {% if top_projects_by_triage and top_projects_by_triage|length > 0 %}

🎯 Most Active Triagers

Projects with highest triage completion (Current State)

{% for row in top_projects_by_triage %} {% endfor %}

Rank	Project	Total	Progress
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.project_name }}	{{ row.triage_actions }}	{{ row.triage_percentage\|round(1) }}%

{% endif %}

{% endif %} {% if not current_project %}

👥 Individual Contributors

{% endif %}

{% if top_users_by_fixes and top_users_by_fixes|length > 0 %}

🔧 Top Fixers

Users with most defect fixes submitted/released (Last 30 Days)

{% for row in top_users_by_fixes %} {% endfor %}

Rank	User	Fixes	Avg/Day
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.user_name }} @{{ row.username }}	{{ row.total_fixes }}	{{ row.avg_fixes_per_day\|round(2) }}

{% endif %} {% if top_triagers and top_triagers|length > 0 %}

⚖️ Top Triagers

Users with most classification and action assignments (Last 30 Days)

{% for row in top_triagers %} {% endfor %}

Rank	User	Actions	Avg/Day
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.user_name }} @{{ row.username }}	{{ row.total_triage_actions }}	{{ row.avg_triage_per_day\|round(2) }}

{% endif %} {% if most_collaborative_users and most_collaborative_users|length > 0 %}

💬 Team Champions

Users with most collaborative comments and discussions (Last 30 Days)

{% for row in most_collaborative_users %} {% endfor %}

Rank	User	Comments	Avg/Day
{% if loop.index == 1 %} 🏆 {% elif loop.index == 2 %} 🥈 {% elif loop.index == 3 %} 🥉 {% else %} {{ loop.index }} {% endif %}	{{ row.user_name }} @{{ row.username }}	{{ row.total_comments }}	{{ row.avg_comments_per_day\|round(2) }}

{% endif %}

📊 Leaderboard Metrics Explained:

Fix Velocity: Defects with "Fix Submitted" or "Fix Released" action
Improvement: (Eliminated - New) / Starting Outstanding × 100%
Triage Completion: Percentage of defects with classification assigned
Collaboration: Comments added to defects for team communication

{% else %}

ℹ️ No Leaderboard Data Available

Leaderboards will appear when projects have defect fix activity, improvements, or triage progress.

{% endif %}

{% if current_project and owasp_metrics %}

🔒 OWASP Top 10 2025 Security Analysis

Defects mapped to OWASP Top 10 2025 categories based on CWE (Common Weakness Enumeration) codes. This analysis helps prioritize security remediation efforts based on the most critical web application security risks.

🎯 Security Focus: {{ owasp_metrics|length }} OWASP Top 10 categories detected in this project.

{% for item in owasp_metrics %} {% endfor %}

Rank	OWASP Category	Description	Total	🔴 High	🟡 Med	🟢 Low	CWEs
#{{ loop.index }}	{{ item.category.split(':')[0] }} {{ item.category.split(':')[1] if ':' in item.category else item.category }}	{{ item.description[:100] }}{% if item.description\|length > 100 %}...{% endif %}	{{ item.total_defects }}	{% if item.high > 0 %} {{ item.high }} {% else %} - {% endif %}	{% if item.medium > 0 %} {{ item.medium }} {% else %} - {% endif %}	{% if item.low > 0 %} {{ item.low }} {% else %} - {% endif %}	{{ item.cwe_count }}

Total OWASP-Mapped Defects

High Severity OWASP Issues

📚 About OWASP Top 10 2025:

The OWASP Top 10 is a standard awareness document representing a broad consensus about the most critical security risks to web applications. This report maps your defects to these categories using CWE codes to help prioritize security remediation.

Rank: Position in OWASP Top 10 2025 list
Total: Number of outstanding defects in this category
CWEs: Number of unique CWE codes contributing to this category

{% endif %} {% if current_project and cwe_top25_metrics %}

🛡️ CWE Top 25 Most Dangerous Software Weaknesses (2025)

Defects mapped to MITRE's CWE Top 25 list - the most widespread and critical software weaknesses. Rankings are based on real-world vulnerability data and help prioritize remediation by industry-recognized danger level.

🎯 Security Focus: {{ cwe_top25_metrics|length }} CWE Top 25 weaknesses detected in this project.

{% for item in cwe_top25_metrics %} {% endfor %}

Rank	CWE ID	Weakness Name	Score	Total	🔴 High	🟡 Med	🟢 Low	⚪ Unsp
#{{ item.rank }}	CWE-{{ item.cwe_id }}	{{ item.name }}	{{ "%.2f"\|format(item.score) }}	{{ item.total_defects }}	{% if item.high > 0 %} {{ item.high }} {% else %} - {% endif %}	{% if item.medium > 0 %} {{ item.medium }} {% else %} - {% endif %}	{% if item.low > 0 %} {{ item.low }} {% else %} - {% endif %}	{% if item.unspecified > 0 %} {{ item.unspecified }} {% else %} - {% endif %}

Total CWE Top 25 Defects

High Severity CWE Issues

📚 About CWE Top 25 2025:

The CWE Top 25 Most Dangerous Software Weaknesses is a demonstrative list of the most widespread and critical weaknesses that can lead to serious vulnerabilities in software. Compiled by MITRE using real-world vulnerability data from the National Vulnerability Database (NVD), this list helps developers and security teams prioritize their remediation efforts.

Rank: Position in MITRE's CWE Top 25 list (1-25, lower rank = more dangerous)
Score: MITRE's calculated danger score based on prevalence and impact
Total: Number of outstanding defects for this specific CWE in your project
Coverage: This table shows only CWE Top 25 entries found in your project ({{ cwe_top25_metrics|length }}/25)

{% endif %}