📊 Coverity Metrics Dashboard

Aggregated View Across All Instances

Generated: {{ timestamp }}

🌐 Multi-Instance Navigator

Select an instance to view detailed metrics

{% for inst in instance_configs %}
{{ inst.name }}

{{ inst.description }}

View Dashboard →
{% endfor %}
Total Instances ℹNumber of Coverity Connect instances being monitored and aggregated in this dashboard.
{{ summary.total_instances }}
Total Projects ℹTotal number of projects across all monitored Coverity instances.
{{ summary.total_projects }}
Total Defects ℹAggregated count of all outstanding defects across all instances, projects, and streams.
{{ summary.total_defects }}
High Severity ℹNumber of high-severity defects across all instances. These require immediate attention.
{{ summary.high_severity_defects }}

Defects by Coverity Instance ℹComparison of total outstanding defects across all monitored Coverity instances.

{% for inst in defects_by_instance %} {% endfor %}
Instance Description Total Defects High Severity Medium Severity Low Severity Projects Streams
{{ inst.instance_name }} {{ inst.description }} {{ inst.total_defects }} {{ inst.high_severity }} {{ inst.medium_severity }} {{ inst.low_severity }} {{ inst.total_projects }} {{ inst.total_streams }}

Aggregated Defect Severity Distribution ℹCombined severity breakdown of all defects across all instances. Severity levels: High (critical issues), Medium (moderate concerns), Low (minor issues), Unspecified (not yet classified).

Severity Breakdown

{% for row in defects_by_severity %} {% endfor %}
Severity Count Percentage
{{ row.severity }} {{ row.count }} {{ "%.1f"|format((row.count / summary.total_defects * 100) if summary.total_defects > 0 else 0) }}%

Instance Color Legend

{% for inst in instance_configs %}
{{ inst.name }} {% if inst.description %}
{{ inst.description }}
{% endif %}
{% endfor %}
{% if triage_summary %}

📋 Aggregated Triage Progress ℹTriage status of all defects across instances. Shows how many defects have been reviewed and classified versus those still awaiting triage.

Total Outstanding ℹTotal number of defects that are still open/outstanding across all instances.
{{ triage_summary.total_defects }}
Across all instances
Classified ℹDefects that have been reviewed and assigned a triage classification (Bug, False Positive, Intentional, etc.).
{{ triage_summary.classified_count }}
Unclassified ℹDefects that have not yet been triaged or classified. These require developer review.
{{ triage_summary.unclassified_count }}
Triage Completion ℹPercentage of defects that have been triaged. Formula: (Classified / Total Outstanding) × 100%
{{ (triage_summary.triage_completion_percentage|round(1)) if triage_summary.triage_completion_percentage else '0' }}%
Bugs Confirmed
{{ triage_summary.bug_count }}
False Positives
{{ triage_summary.false_positive_count }}
Intentional
{{ triage_summary.intentional_count }}
Action Assigned
{{ triage_summary.action_assigned_count }}
{% endif %} {% if trend_summary and trend_summary.total_new %}

📊 Aggregated Defect Introduction vs Fix Velocity ({{ trend_period_text }}) ℹTracks the rate at which new defects are introduced versus the rate at which defects are fixed across all instances. A positive trend (fixing faster than introducing) indicates improving code quality.

🌐 Multi-Instance Trend Status: {% if trend_summary.trend_direction == 'improving' %} ✅ IMPROVING - Fixing defects faster than introducing new ones across all instances {% elif trend_summary.trend_direction == 'declining' %} ⚠️ DECLINING - Introducing defects faster than fixing them across all instances {% else %} ℹ️ STABLE - Introduction and fix rates are balanced across all instances {% endif %}
Avg New Defects/Day ℹAverage number of new defects introduced per day over the tracking period. Formula: Total New Defects / Days in Period
{{ (trend_summary.avg_new_per_day|round(1)) if trend_summary.avg_new_per_day else '0' }} ↑
Across all instances
Avg Fixed Defects/Day ℹAverage number of defects fixed per day over the tracking period. Formula: Total Fixed Defects / Days in Period
{{ (trend_summary.avg_fixed_per_day|round(1)) if trend_summary.avg_fixed_per_day else '0' }} ↓
Across all instances
Net Change ℹNet change in defect count over the period. Formula: Total New - Total Fixed. Negative values indicate improvement.
{{ ('+' 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 ℹPercentage showing fix efficiency. Formula: (Fixed / (Fixed + New)) × 100%. Values over 50% indicate more fixes than introductions.
{{ (trend_summary.fix_rate_pct|round(1)) if trend_summary.fix_rate_pct else '0' }}%
Total New (90d)
{{ trend_summary.total_new }}
Total Fixed (90d)
{{ trend_summary.total_fixed }}
{% endif %} {% if fix_rate_metrics %}

⚡ Aggregated Fix Rate & Velocity ({{ trend_period_text }}) ℹMeasures the efficiency of defect resolution across all instances. Fix Rate = (Fixed Defects / Total Defects) × 100%. Higher rates indicate better remediation efforts.

Total Defects ℹTotal number of defects tracked during the measurement period.
{{ fix_rate_metrics.total_defects }}
Fixed Defects ℹNumber of defects that were successfully resolved and fixed during the period.
{{ fix_rate_metrics.fixed_defects }}
Fix Rate ℹPercentage of defects fixed. Formula: (Fixed Defects / Total Defects) × 100%
{{ fix_rate_metrics.fix_rate_percentage }}%
Current Outstanding ℹCurrent total count of defects that remain open and unresolved.
{{ trend_summary.current_outstanding if trend_summary else 'N/A' }}
{% endif %} {% if trends_by_instance %}

📈 Trends by Instance ℹDetailed breakdown of triage completion, defect introduction, and fix trends for each individual instance.

{% for inst in trends_by_instance %} {% endfor %}
Instance Triage % Classified New Defects (90d) Fixed (90d) Net Change Trend
{{ inst.instance_name }} {{ inst.triage_completion|round(1) }}% {{ inst.classified }} {{ inst.total_new }} {{ inst.total_fixed }} {{ '+' if inst.net_change > 0 else '' }}{{ inst.net_change }} {% if inst.trend_direction == 'improving' %} ✅ Improving {% elif inst.trend_direction == 'declining' %} ⚠️ Declining {% else %} ➖ Stable {% endif %}
{% endif %}
{% if analysis_versions and analysis_versions|length > 0 %}

📊 Top Analysis Versions Used - All Instances

{% for ver in analysis_versions %} {% endfor %}
# Analysis Version Total Snapshots Instances First Used Last Used
{{ loop.index }} {{ ver.version }} {{ ver.snapshot_count }} {% if ver.instances %} {{ ver.instances|length }} instance{{ 's' if ver.instances|length > 1 else '' }} {% else %} N/A {% endif %} {% 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 %} {% if user_statistics %}

👥 Aggregated User Activity & License Statistics (Last 90 Days) ℹShows license utilization and user engagement across all instances. Active users are those who have logged in or interacted with Coverity in the last 90 days.

Total Licensed Users ℹTotal number of Coverity licenses allocated across all instances.
{{ user_statistics.total_licensed_users }}
Across all instances
Users with Login ℹNumber of licensed users who have logged into Coverity at least once.
{{ user_statistics.users_with_login }}
{{ user_statistics.login_user_percentage }}% of licenses
Active Users ℹUsers who have actively used Coverity within the last 90 days. Indicates license utilization.
{{ user_statistics.active_users }}
{{ user_statistics.active_user_percentage }}% of licenses
Inactive Licenses ℹNumber of licenses allocated to users who have not been active in the last 90 days. These licenses may be reassignable.
{{ user_statistics.total_licensed_users - user_statistics.active_users }}
{{ (100 - user_statistics.active_user_percentage)|round(1) }}% of licenses
🌐 Multi-Instance Activity Summary: {% if user_statistics.active_user_percentage >= 50 %} Excellent license utilization across all Coverity instances! {{ user_statistics.active_user_percentage }}% of users are actively engaged. {% elif user_statistics.active_user_percentage >= 30 %} Moderate license utilization. {{ user_statistics.active_user_percentage }}% of users are active. Consider cross-instance user engagement strategies. {% else %} Low license utilization detected across instances. Only {{ user_statistics.active_user_percentage }}% of users are active. Review license distribution and training programs. {% endif %}

User Activity by Instance

{% for inst in user_statistics.by_instance %} {% endfor %}
Instance Licensed Users Users with Login Active Users Active %
{{ inst.instance_name }} {{ inst.licensed_users }} {{ inst.users_with_login }} {{ inst.active_users }} {{ inst.active_percentage }}%
{% endif %} {% if database_statistics %}

💾 Aggregated Database Statistics ℹCombined database metrics across all instances, including total storage size, snapshot counts, and commit performance statistics.

Total Database Size ℹCombined size of all Coverity databases across monitored instances.
{{ database_statistics.total_db_size }}
Across all instances
Total Snapshots ℹTotal number of analysis snapshots stored across all instances. Each snapshot represents a code analysis run.
{{ database_statistics.total_snapshots }}
All instances combined
Avg Commit Time ℹAverage time to commit analysis results to the database, weighted across all instances.
{{ database_statistics.avg_duration_seconds }}s
Weighted average
Total Commits ℹTotal number of commit operations (analysis uploads) across all instances.
{{ database_statistics.total_commits }}
All instances combined
Min Commit Time
{{ database_statistics.min_duration_seconds }} sec
Max Commit Time
{{ database_statistics.max_duration_seconds }} sec
{% if commit_activity and commit_activity.total_commits > 0 %}

Aggregated Commit Activity Patterns

ℹ️ Activity Analysis: Based on {{ commit_activity.total_commits }} commits/snapshots across all instances, showing when development activity is most and least active.
{% if commit_activity.busiest_hours %}
🔥 Busiest 3-Hour Window
{{ commit_activity.busiest_hours.hours_display }}
{{ commit_activity.busiest_hours.commit_count }} commits • Avg: {{ commit_activity.busiest_hours.avg_duration_seconds|default(0) }} sec
{% endif %} {% if commit_activity.quietest_hours %}
😴 Quietest 3-Hour Window
{{ commit_activity.quietest_hours.hours_display }}
{{ commit_activity.quietest_hours.commit_count }} commits • Avg: {{ commit_activity.quietest_hours.avg_duration_seconds|default(0) }} sec
{% endif %} {% if commit_activity.busiest_day %}
📈 Busiest Day
{{ commit_activity.busiest_day.day_name }}
{{ commit_activity.busiest_day.commit_count }} commits • Avg: {{ commit_activity.busiest_day.avg_duration_seconds|default(0) }} sec
{% endif %} {% if commit_activity.quietest_day %}
📉 Quietest Day
{{ commit_activity.quietest_day.day_name }}
{{ commit_activity.quietest_day.commit_count }} commits • Avg: {{ commit_activity.quietest_day.avg_duration_seconds|default(0) }} sec
{% endif %}
{% endif %}

Database Statistics by Instance

{% for inst in database_statistics.by_instance %} {% endfor %}
Instance Database Size Total Snapshots Total Commits Avg Commit Time
{{ inst.instance_name }} {{ inst.db_size }} {{ inst.total_snapshots }} {{ inst.total_commits }} {{ inst.avg_duration_seconds }} sec
{% endif %}