STAR Demo Project Guide
Explore five sample projects in our demo mode, each illustrating different real-world project scenarios. You can interact with STAR's output views and use cases without adjusting any parameters, giving you a hands-on view of its capabilities.
Demo Mode
Explore real project datasets from multiple industries
See different project set ups: single-release, multi-release, continuous snapshots, and early prediction
Interact with project quality predictions during the Planning and Testing phases
Discover software quality trends, delivery risks, and release-over-release patterns
Want to understand the methodology behind these examples?
Explore STAR Best Practices to learn how these predictions are generated and interpreted.
Demo Projects
| Project | Type | Description | Notes |
|---|---|---|---|
| Project A | Defect Trend Analysis | Typical single-release scenario | Shows whether a release is on track several weeks before delivery |
| Project B | Defect Trend Analysis | Continuous snapshot views of the same release | Demonstrates the importance of continuous defect prediction as trends change with test progress |
| Project C | Defect Trend Analysis | Multi-release view | Contains three releases within the same project to demonstrate release-over-release trends |
| Project D | Early Defect Prediction | Prediction before sufficient defect data is available | Contains two releases within the same project to demonstrate early prediction during the planning and testing phases |
Project D Releases: Release B: Use the Planning Phase menu (early prediction based on historical effort/sub-feature/test data) Release A: Use the Testing Phase menu (actual defect data overlaid to refine predictions) | |||
| Project E | Agile Development Manager | Prediction for small agile and CI/CD teams | Demonstrates defect predictions based on normalizing working day increments. Typical use for 1 to 3 month long projects |
STAR Output Views
Executive Summary
Get an at-a-glance view of project health, highlighting residual risk, open defects, milestone readiness, and overall defect trends so leaders can make fast, informed decisions.
Corrective Action
Test "what-if" scenarios before you commit, showing how schedule changes, staffing adjustments, or scope reductions impact defect outcomes and delivery risk.
Arrival / Closure
See whether quality is improving or falling behind, tracking weekly defect arrivals and closures with actual results compared against predicted trends.
Defects by Component
Identify where risk is concentrated, breaking defect trends down by system component so teams can focus testing and fixes on the highest-impact areas.
Defects by Severity
Prioritize what matters most, isolating critical and high-severity defects to support risk-based decision-making and release readiness.
Early Defect Prediction
Assess quality risk early, using effort data to generate predictions before test data is available, then validating them as actual defects emerge.
Release-over-Release
Compare current and previous release defect trends on a normalized timeline, making it easy to see improvements, regressions, and quality changes at equivalent points in the delivery cycle.
Prediction Stability
Know when predictions can be trusted, showing how early STAR's predicted final defect count converges and remains stable—giving teams confidence that results are accurate, reliable, and usable for decision-making before deployment.
Additional Features
Defect Filters
Component & Severity filters available across all views
User-Friendly Interface
Upload CSVs and explore insights interactively
Automatic Data Integration
Explore connection to your database for seamless, automatic data upload
Customizable Workflows
Tailor STAR views and analysis to match your team's processes and project needs