Release Update 08/11/2025
Unified Insights
Transform Your Quality Monitoring with Advanced Defect Analytics & Customizable Dashboard
The Application Quality Posture dashboards provide users with more extensive insights for users to increase visibility into defect data and to customize their analytics experience to better suit their organization's specific requirements.
Key Highlights:
Overall Defect Summary Tab
Introduces a new comprehensive metrics tile displaying the total count of open defects, encompassing both internal and external defects.
This metric is independent of any applied date filters, offering a real-time holistic view of defect backlog.
Currently, only CFP1 and CFP2 defects are included; CFP0 defects are intentionally excluded to maintain focus on higher priority issues.
2. Configurable Dashboard Widgets
Users can now tailor the AQP dashboard by adding or removing widgets, allowing personalized layouts that align with specific project or organizational reporting needs.
Supported Widgets include:
UAT Defects: Displays defects identified during User Acceptance Testing, highlighting issues discovered in the final validation phase before release.
Defects Leakage: Tracks defects that escaped earlier testing phases and were detected in later stages or production, enabling root cause analysis and process improvement.
Reports: Provides quick access to standardized defect reports and analytics, facilitating efficient sharing and documentation.
3. Table View for External CFP1 Defects
A new tabular presentation specifically for external CFP1 defects has been introduced, making it easier to analyze detailed defect data.
Supports streamlined export functionality for effortless reporting and further offline analysis.
4. Visual and Usability Enhancements
Defects marked as “Cancelled” now feature a distinct color bar within the Defects By CFP widget, enhancing clarity by visually separating cancelled issues from active defects.
Bulk RBAC Role Management for Dashboards
Dashboard role-based access control (RBAC) management has been enhanced for users to efficiently update access restrictions across multiple dashboards simultaneously.
Key Highlights
Bulk RBAC Role Updates: The ability to select multiple dashboards is provided allowing RBAC roles to be edited in bulk.
Streamlined Workflow: Users can edit role assignments for several dashboards, apply the changes, and save them collectively in a single operation.
Increased Efficiency: Administrative overhead is minimized, and access management for dashboards is rendered more consistent and error-resistant.
Comprehensive Branch Status Report and Export Capability for DevEx Dashboard
The DevEx dashboard offers a comprehensive branch status report that classifies branches as Active, Inactive, or Stale and provides detailed metrics such as last commit date, time since last activity, branch age, staleness flags, and merge status. All this data is included in an easy-to-export CSV file via a new export icon, enabling teams to efficiently analyze and manage branch health
Sample CSV File:
Introduction of “Pull Request Size” Column in PR Stats KPI Table
The PR Stats KPI Table includes a "Pull Request Size" metric, enhancing visibility into the scope of changes within each pull request. This capability helps teams evaluate review complexity, prioritize reviews, and uphold code quality.
Key Highlights
Pull Request Size Column Addition: The column displays the total sum of lines added and deleted for each individual pull request. PR Size Calculation: For every listed pull request, its size is automatically computed as: Pull Request Size = Total Lines Added + Total Lines Deleted
Individual Tracking and Visibility: The size is shown for each PR entry, allowing for straightforward comparison.
Sorting Capability Enabled: Users can sort the PR Stats KPI Table by the new “Pull Request Size” column, thereby simplifying the process of locating pull requests based on their scope.
Sprint KPI Discrepancy Export Feature in Sprint Velocity Dashboard
Administrators can quickly detect and export differences between Jira Sprint Analysis data and Opsera dashboard information, accelerating root cause analysis and improving sprint data accuracy. A new export button has been added to the Sprint Velocity dashboard. This allows dashboard admins to download a comprehensive CSV report with a single click.
Sample CSV File:
Key Highlights
Discrepancy Detection Made Easy Admins can now precisely identify Jira issue keys that appear in Opsera but are missing in Jira’s Sprint API results, as well as those present in Jira but not reflected in Opsera. This clear visibility into mismatches helps diagnose reporting gaps efficiently.
Comprehensive and Actionable CSV Reports The exported CSV includes:
Jira issue keys listed in Opsera but absent in Jira data
Jira issue keys present in Jira but missing from Opsera’s dashboard logic
Direct clickable links for each Jira issue, enabling swift navigation for investigation and resolution
Accurate Data Validation with API & Change Log Analysis This export feature compares data sourced from the Jira Sprint API with Opsera’s internal linked-issue and change log tracking mechanisms, ensuring the report reflects authentic differences.
Tag-Based Filtering and Pipeline Mapping for Sonar Ratings KPI in Insights NX
Users can now access advanced data filtering options for SonarQube quality analytics, enabling more targeted insights. This is achieved by leveraging custom tags defined within Opsera pipelines.
Key Highlights
Support for Tag Mapping of Sonar KPIs: Sonar Ratings KPI results can now be dynamically associated with Opsera pipeline tags. This association allows users to filter and view Sonar Ratings based exclusively on selected tags, providing a flexible way to segment code quality results by business function, release train, or any custom tag taxonomy defined within the Opsera platform.
Pipeline Mapping Integration: Users are also enabled to map Sonar Ratings data directly to Opsera pipelines, ensuring that quality KPIs are viewable in context with pipeline activities and facilitating easier correlation between quality trends and delivery pipelines.
Flexible Filter Application: It is no longer mandatory to specify a SonarQube project to filter data. Users may now filter Sonar Ratings KPI results by tags alone, by project alone, or by a combination of both criteria. Note: The KPI requires at least one mapping type, either tag mapping or pipeline mapping to function. If neither mapping is configured, the KPI will not operate.
Introducing Focus Summary KPI for Investment Spectrum Dashboard
The Focus Summary Metrics in the Investment Spectrum Dashboard offers a consolidated view of work items (such as stories and bugs) across production and product deployments. This allows users to quickly assess where current efforts and resources are being allocated within their development or operational projects.
Key Highlights:
Comprehensive Metrics: View description, number of team members involved and Quantitative measurement of effort spent supporting resource planning and accountability.
Dynamic Filtering: Users can select date ranges or issue subsets, tailoring the summary to strategic planning periods or operational sprints.
Export Functionality: The summary data is exportable, enabling external reporting, deeper analytics, or offline review.
Visual Cues: Effort and focus are displayed with bars and percentages, ensuring that areas needing attention or underperformance are easy to spot.
Issue Drill-Down: Clicking an issue summary typically leads to expanded views for deeper investigation or real-time status tracking.
Introducing Dual Coverage Metrics in Code Coverage KPI
A dual-metric approach has been supported to enable teams to gain a more granular understanding of code quality, ensuring both the entire codebase and the latest code changes are adequately tested.
Overall Coverage %: Continues to provide the average coverage across the entire codebase, giving a broad view of testing effectiveness.
New Coverage %: A powerful new KPI that measures coverage specifically on newly added or modified code, enabling focused assessment of recent changes and highlighting testing gaps on fresh development.
Additional Highlights:
The scan results table now exclusively shows the most recent scan per Project-Branch, eliminating older data for a clearer, up-to-date quality snapshot.
Filters applied at the KPI level are saved within the dashboard configuration, ensuring consistent views when shared with leadership or other stakeholders without requiring manual resets.
Introducing Capacity Utilization Percentage in the Sprint Velocity Dashboard
Capacity Utilization Percentage metric provides teams with critical visibility into how effectively developer capacity is being utilized, enabling smarter workload balancing and more informed project planning.
Key Highlights
Capacity Utilization % Metric: Tracks how completed story points measure up against available developer capacity.
Customizable Capacity per Developer: Users can tailor capacity calculations to match your team’s reality by setting the expected story points per developer from the Dashboard settings. Default is 10 story points
Comprehensive Bidirectional Reporting Access Capacity Utilization % alongside existing Velocity metrics both in detailed tables for in-depth analysis and in dynamic charts for quick visualization tracking trends over time. This dual view supports strategic decision-making at every level.
Optimize Sprint Planning: Identify over- or under-utilized resources early to balance workloads and maximize throughput.
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