🎯

Overall Quality Score

92
Quality Index
β–² +5% vs last week
πŸ§ͺ

Test Coverage Overview

Unit Tests
94%
Integration
78%
E2E Tests
65%
⚑

Performance Metrics

Execution Time 2.3s
Success Rate 89.2%
Automation 76%
πŸ“Š

Test Statistics

1,247
Total Tests
1,112
Passed
135
Failed

πŸ”Ί Test Pyramid Analysis

E2E / UI Tests
24 tests (15%)
Integration Tests
87 tests (25%)
Unit Tests
245 tests (60%)
🟒 Excellent Pyramid Health

πŸ§ͺ Test Coverage by Type

Qualimetry measures coverage across test levels, quality attributes, user perspectives, UX evidence, validation methods, and automation modes.

Unit Integration API E2E Security UX Manual / Hybrid / Auto

Typed tests

-

Tests with tag evidence.

Type breadth

-

Waiting

Pass rate

-

Latest execution health.

Traceability

-

Criteria linked to code tests.

Executed tests

-

Latest run evidence.

Manual checkpoints

-

Manual or hybrid validation pressure.

Automation modes

Waiting for synchronized Qualimetry evidence.

Coverage gaps

  • Waiting for synchronized Qualimetry evidence.

Strongest signals

  • Waiting for synchronized Qualimetry evidence.

πŸ—ΊοΈ Modern SDLC Loop Map

Interactive Qualimetry image for measuring the enterprise product loop: 6 phase leads, business, marketing, customer voice, competition, R&D, delivery, operations, support, heat-points, the 6 Amigos + FM + QM ritual, and BEASTY-ready zones.

Red: contingency / problems Yellow: medium Green: healthy Fixed phase borders
Arrow signal

CE. Elicit

Continuously elicit value, business vision, marketing, customer voice, competition, criteria, risks, standards, and definition of ready.

Phase Lead: Product / Business Lead Auto/AI: evaluating

CP. Plan

Backlog, epics, stories, slicing, capacity, dependencies, tools, starting data, and phase readiness.

Phase Lead: Planning Lead Auto/AI: evaluating

CI. Implement

Code, tests, scripts, agents, evidence, and executable criteria.

Phase Lead: Engineering Lead Auto/AI: evaluating

CD. Diffuse

CI/CD, gates, packaging, rollback, release, production readiness, and Delivery Manager coordination.

Phase Lead: Delivery Manager Auto/AI: evaluating

CC. Care

Care, support, real usage, incidents, satisfaction, and weak signals.

Phase Lead: Customer Care / Support Lead Auto/AI: evaluating

CM. Measure

ROI, coverage, customer confidence, competition, bottlenecks, and return to Elicit.

Phase Lead: Qualimetry Lead Auto/AI: evaluating

Shift-Left

Tests become business rules, product rules, criteria, requirements, and specifications.

Shift-Right

Continuous feedback, full traceability, satisfaction, and measured return to Elicit.

Decision Qualimetry

Measures risk, evidence, accountable role, touched tool, customer voice, competition, and the next BEASTEST action.

Quality Manager

Transverse quality coach paired with the Flow Manager: coaches phase leads on quality, security, lean, sigma, standards, evidence, and toolbox discipline.

Flow Manager

Transverse agile/lean flow coach: connects every phase lead to the Measure-to-Elicit return loop.

Global governance

6 Amigos + FM + QM links the 3 Dev phase leads, 3 Ops phase leads, Flow Manager, and Quality Manager.

Priority heat-points

  • Implement -> Diffuse: dev/ops handoff, CI/CD, gates, release evidence, and Delivery Manager readiness.
  • Measure -> Elicit: customer voice, competition, marketing, and business vision.
  • Plan -> Implement: epics, stories, slicing, unclear criteria, incomplete tools, or uncovered role ownership.

Tool inventory

  • Global toolbox: marketing, discovery, backlog, specs, design, repository, security, CI/CD, tests, observability, support, documentation.
  • Owner, real use, friction, available evidence, BEASTY integration, customer voice, and competition.
  • Links to Integrity, Delivery, Sealidify, and BEASTY-TASK.

BEASTY readiness

  • Observe: current task and sufficient data.
  • Assist: checklist, recommendation, risk, and evidence.
  • Execute: agent or task with guardrails, verification, and rollback.

6 phase leads + FM/QM

  • No duplicated Flow Manager or Quality Manager per phase: each phase lead carries local quality and flow signals.
  • Diffuse: the Delivery Manager leads release, gates, evidence, communication, rollback, and production readiness.
  • 6 Amigos + FM + QM links 3 Dev phase leads, 3 Ops phase leads, Flow Manager, and Quality Manager.

Current

Measure roles, tools, manual tasks, irritants, and missing evidence without waiting for ideal maturity.

Next move

The right 6 Amigos voices meet with Flow Manager and Quality Manager to turn the most expensive heat-point into a Sealidify or BEASTY-TASK action.

Continuous ideal

Agile + quality = excellence: every department evolves under Flow + Quality, every handoff creates evidence, and every loop learns with BEASTEST.

πŸ“ Standards / Rules / Success Criteria

Quality standards, rules, success criteria, modeling assets, and statistical thresholds linked into one measurable decision contract.

Standards Rules Success criteria Stat thresholds

Linked standards

4

Quality model, release rulebook, statistical control, modeling discipline.

Rule families

12

Product, process, code, data, UX, security, performance, release.

Model score

-

Waiting

Threshold breaches

-

Red or yellow statistical bounds needing review.

Linking chain

Quality standard Rule Success criterion Model element Stat threshold Decision / action
Standard Rule Success criterion Model link Threshold State
Quality Model Critical criteria are traced to executable evidence. Every critical flow has a criterion, owner, test, and result. Requirement -> Criterion -> Test -> Result >= 85% traceability Watch
Release Rulebook Release gates block when success criteria are red. No critical fail, no unresolved skip, rollback evidence present. Gate -> Evidence -> Approval -> Rollback >= 95% pass rate Gap
Statistical Control A quality signal becomes actionable only when its threshold is explicit. Pass rate, defect density, duration, drift, and confidence have green/yellow/red bounds. Metric -> Threshold -> Decision -> Action 3-color bounds Ready
Modeling Discipline Models, rules, criteria, and tests stay linked through one evidence chain. Business model, process model, data model, UX model, and test model expose the same success contract. Business -> Process -> Data -> UX -> Test >= 85% model alignment Watch

Live statistical thresholds

Metric Target Live State
Pass rate >= 95% - Waiting
Traceability >= 85% - Waiting
Defect density <= 0.05 - Waiting
Cycle time <= 3s - Waiting
Automation evidence >= 80% - Waiting
Model alignment >= 85% - Waiting

Modeling assets

  • Business rules mapped to measurable criteria.
  • Process and data models linked to validation evidence.
  • UX and customer models connected to satisfaction thresholds.
  • Test model connected to execution, traceability, and release gates.

Current threshold review

  • Waiting for synchronized Qualimetry metrics.

πŸ›‘οΈ Auto+AI Readiness Gate

Evidence-first control surface that decides the highest safe automation mode from Qualimetry metrics, approval, rollback, and audit readiness.

Evidence first Human approval Rollback BEASTY-TASK

Decision

Waiting

Waiting

Allowed mode

Assist only

Waiting for Qualimetry evidence.

Blockers

-

Red controls prevent Auto+AI execution.

Confidence

-

Weighted from quality, traceability, automation, and evidence.

Gate chain

Qualimetry signal Standard / rule Evidence bundle Approval Rollback Allowed mode

Assist only

BEASTY can explain, classify, and recommend without changing the product.

Waiting

Suggest + simulate

Suggestions can be simulated against standards, rules, evidence, and rollback expectations.

Waiting

Semi-auto

A human launches the action and keeps control while automated segments produce evidence.

Waiting

Hybrid

Automation can run with required manual checkpoints and auditable approvals.

Waiting

Auto gated

Automation is technically ready but still waits for explicit approval or rollback evidence.

Waiting

Auto allowed

Auto+AI can execute inside guardrails because quality, evidence, approval, and rollback are green.

Waiting
Phase Positive impact Negative impact Guardrail Gate state
CE Elicit Customer voice, competition, criteria, and risks are synthesized faster. Misread need, market bias, or invented criterion if the source is weak. Source, business owner, criterion trace, and 6 Amigos validation. Waiting

Waiting for gate evidence.

CP Plan Slicing, dependencies, capacity, and planning scenarios accelerate. Overconfident estimate, hidden dependency, or misranked priority. Simulation, explicit constraints, PO/Flow Manager approval. Waiting

Waiting for gate evidence.

CI Implement Tests, scripts, refactoring, and executable evidence are produced faster. Unsafe code, hidden debt, brittle tests, or false coverage confidence. Standards, review, pass rate, defect density, and traceability. Waiting

Waiting for gate evidence.

CD Diffuse Release checklist, packaging, gates, and rollback become repeatable. Autonomous release without rollback evidence or clear approval. Delivery Manager, rollback present, approval present, auto gated only. Waiting

Waiting for gate evidence.

CC Care Support triage, incident summaries, weak signals, and satisfaction become clearer. Wrong customer response, lost context, privacy risk, or missed escalation. Human in the loop for customer impact and explicit escalation. Waiting

Waiting for gate evidence.

CM Measure ROI, quality, adoption, and next BEASTY-TASK actions emerge from the loop. Optimizing the wrong metric or creating a biased feedback loop. Qualimetry, Quality Manager, Flow Manager, and Measure -> Elicit return. Waiting

Waiting for gate evidence.

Control Target Live Source State
Pass rate >= 95% - Last execution result Waiting
Traceability >= 85% - Criterion -> test -> result Waiting
Defect density <= 0.05 - Fail pressure per criterion Waiting
Automation evidence >= 80% - Automated vs manual events Waiting
Model alignment >= 85% - Quality + traceability + shift-left Waiting
Manual checkpoints 0 open - Manual/hybrid evidence Waiting
Rollback evidence present - Delivery contract Waiting
Approval control present - Human accountability Waiting

Current blockers

  • Waiting for Qualimetry evidence.

Next BEASTY-TASK

  • Sync execution evidence, then BEASTY can turn the highest blocker into an improvement task.

Audit contract

  • Every Auto+AI decision keeps a reason, source metric, owner, approval, and rollback expectation.
  • A red control degrades execution to assist/simulate until the evidence is repaired.

🎯 Agile Testing Quadrants (ATQ) Matrix

Professional analysis based on Brian Marick's Testing Quadrants methodology

Q1

Technology Facing
Supporting Development

Unit Tests: 94%
Component Tests: 89%
πŸ€– Fully Automated
Q2

Business Facing
Supporting Development

Story Tests: 76%
Functional Tests: 82%
πŸ”§ Semi-Automated
Q3

Business Facing
Critiquing Product

Exploratory Tests: 68%
User Acceptance: 71%
πŸ‘€ Manual
Q4

Technology Facing
Critiquing Product

Performance Tests: 85%
Security Tests: 79%
πŸ”¬ Tool-Assisted

Detailed Coverage Analysis

Feature/Module Q1 (Unit) Q2 (Functional) Q3 (Exploratory) Q4 (Non-Functional) Overall
Authentication Module 94% 76% 68% 85% 81%
User Management 91% 82% 71% 79% 81%
Payment Processing 89% 74% 45% 88% 74%
Data Analytics 96% 78% 62% 72% 77%

πŸ”₯ Quality Heatmaps - Interactive Analysis

πŸ“‹ Models Coverage Heatmap

High Coverage (80-100%) Medium Coverage (50-79%) Low Coverage (0-49%)

⚠️ Modules Failure Analysis

Critical (>10 failures) Moderate (5-10 failures) Low (1-4 failures) No Failures

⏰ 24h Test Execution Timeline

🚦 Execution Profiles Timeline (Criteria vs Code)

πŸ’° ROI Analytics - Return on Investment Analysis

πŸ’Ή

Testing ROI

325%
Return on Quality Investment
β–² +12% this quarter
πŸ›‘οΈ

Defect Prevention

€124K
Costs avoided through testing
β–² +8% this month
⚑

Time Savings

67%
Automation vs Manual
β–² +15% efficiency
πŸ“ˆ

Quality Index

92
Overall Quality Score
β–² +5 points
🧭

Shift-Left Index

78%
Early lifecycle validation rate
β–² +6% this month
πŸ”—

Criteria-Code Traceability

0%
Linked criteria to code tests
➑ baseline

πŸ“Š Cost Breakdown Analysis

πŸ“ˆ Benefits Timeline

πŸ’‘ ROI Optimization Recommendations

πŸ“Š Advanced Statistics & Analytics

βœ…
89.2%
Pass Rate
+2.3%
⏱️
2.3s
Avg Execution Time
+0.1s
πŸ›
1.2
Defects/KLOC
-0.3
πŸ”„
3.2
Tests/Day
+0.5

πŸ“Š Test Results Distribution

πŸ“‰ Failure Rate Trends (7 days)

πŸ“‹ Detailed Statistics by Section

Section Total Tests Pass Rate Avg Duration Coverage Defect Density

🏷️ Typologie des tests (manuel/hybride/full auto + catégories)

Chargement de la typologie...

πŸ§ͺ TDD Feature Registry β€” Γ‰tat de rΓ©alisation BEASTEST

πŸ’š ImplΓ©mentΓ© & testΓ©  |  β­• PlanifiΓ© (TDD RED)  β€”  Dans le Test Explorer VS Code : βœ… passe = πŸ’š  /  ❌ Γ©choue = β­•

Chargement du registre TDD...

πŸ”— Cross-Section Quality Integration

πŸš€

DELIVERY (CD)

🟒 Connected
Release Readiness: 94%
Deployment Risk: Low
Last sync: 2 min ago
πŸ”§

INTEGRITY (CI)

🟒 Connected
Model Coverage: 87%
Module Binding: 92%
Criteria→Code Coverage: 0%
Last sync: 1 min ago
πŸ§ͺ

LABORATORY

🟒 Connected
Test Execution: 89%
Automation Rate: 76%
Last sync: 30 sec ago
πŸ†”

IDENTITY

🟒 Connected
Traceability: 91%
Compliance: 88%
Last sync: 1 min ago
πŸ€–

SEA (CAI)

🟒 Connected
AI Quality Score: 85%
Automation Level: 79%
Last sync: 45 sec ago

⚑ Real-time Synchronization Status

Auto-refresh: 30s interval
Cross-section data: Real-time
Quality metrics: Live updates

🎯 Top Unlinked Criteria vs Code Tests (0)

Criterion PrioritΓ© Tags Code Suggestions
Waiting for criteria↔code traceability data...

πŸ“‹ Executive Reports & Analytics

πŸ“Š

Executive Dashboard

Comprehensive overview for management with KPIs and trends
πŸ”

Quality Deep Dive

Detailed technical analysis with recommendations
πŸ’°

ROI Analysis Report

Financial impact and return on testing investment
πŸ“ˆ

Trend Analysis

Historical trends and predictive analytics

πŸ“„ Recent Reports

Q4 Quality Report
Generated: Dec 15, 2024
Monthly ROI Analysis
Generated: Dec 12, 2024
Coverage Deep Dive
Generated: Dec 10, 2024