Connectivity QA — Automation Strategy & Development Plan

Data-driven test automation framework for WiFi, BT, Smarthome & Co-ex across all product lines
Connectivity QA Team · April 2026 · Version 1.0

Contents

📌 1. Vision & Scope

Establish a scalable, data-driven test automation framework for the Connectivity QA team that maximizes ROI by prioritizing high-execution, high-impact test cases across all product lines and connectivity technologies.

Key Principle: Automate what runs the most first. Use execution count data from 2025, Pareto analysis (P0/P1), and functional classification to drive prioritization — not gut feel.

Scope

📊 2. Product Coverage Matrix

Technology × Product Support

Product LineWiFiBluetoothSmarthomeCo-ex
EFD✅✅✅✅
FireTV✅✅—✅
Tablet✅✅—✅
E-reader✅✅—✅

TestRail Suite Mapping

Suite IDCoverageTechnology
408234EFD / FireTV / Tablet / E-readerWi-Fi
393394EFDBluetooth
403592FireTVBluetooth
23932TabletBluetooth
152169E-readerBluetooth
408040EFDSmarthome (MoW/MoT/Zigbee)
408038EFDCo-ex
23811FireTVCo-ex
379788TabletCo-ex
380241E-readerCo-ex

🎯 3. Strategic Pillars

3.1 Data-Driven Prioritization

3.2 TestRail Optimization & Deduplication

3.3 Phase-Wise Rollout

Automation development follows a phased approach based on execution frequency, ensuring highest-ROI cases are automated first.

PhaseCriteriaRationale
PHASE 1Execution count > 100Highest ROI — most frequently run cases
PHASE 2Execution count > 50Medium frequency — strong coverage expansion
PHASE 3Execution count > 10Long tail + P0/P1 Pareto mapping
Cross-cutting priority: Must-run sanity cases (basic scenarios, low bug yield) are elevated alongside Phase 3 to ensure foundational coverage is automated early.

3.4 Ownership Model

Each product × technology combination has a dedicated POC. Automation development, maintenance, and triage are owned per combination.

🚀 4. Phase-Wise Development Plan

PHASE 0 Foundation (Pre-Automation)

TaskDescriptionETA
TestRail OptimizationComplete remaining optimization — clean section trails, consistent metadata4/3 ✅
RAG DeduplicationRun RAG-based script across all suites to identify and consolidate duplicates4/3 ✅
Data ExtractionExtract unique executed cases (2025), compute execution counts, apply Pareto analysisWeek of 4/7
Prioritized Case ListsGenerate per-suite prioritized lists: Functional vs Overall, by phase thresholdWeek of 4/7

PHASE 1 High-Frequency Cases (Execution Count > 100)

Test cases executed more than 100 times in 2025. These represent the highest ROI for automation.

Development Order (per suite):

  1. Functional unique executed cases (2025) with exec count > 100
  2. Remaining overall unique executed cases with exec count > 100

Suite Targets:

Suite IDSuite NameOverall (Est.)Functional (Est.)Phase 1 Target
408234EFD/FTV/Tablet/E-reader Wi-FiTBDTBDExec > 100
393394EFD BTTBDTBDExec > 100
403592FireTV BTTBDTBDExec > 100
23932Tablet BTTBDTBDExec > 100
152169E-reader BTTBDTBDExec > 100
408040EFD SmarthomeTBDTBDExec > 100
408038EFD Co-exTBDTBDExec > 100
23811FireTV Co-exTBDTBDExec > 100
379788Tablet Co-exTBDTBDExec > 100
380241E-reader Co-exTBDTBDExec > 100

PHASE 2 Medium-Frequency Cases (Execution Count > 50)

Test cases executed 51–100 times in 2025. Expands coverage significantly.

Development Order (per suite):

  1. Functional unique executed cases (2025) with 50 < exec count ≤ 100
  2. Remaining overall unique executed cases with 50 < exec count ≤ 100

Parallel Work:

  • Refine setup recovery based on Phase 1 learnings
  • Expand smoke tests to cover cross-product scenarios
  • Stabilize flaky tests from Phase 1

PHASE 3 Low-Frequency + Pareto-Driven (Execution Count > 10)

Test cases executed 11–50 times in 2025, combined with P0/P1 Pareto analysis and must-run sanity cases.

Development Order (per suite):

  1. P0/P1 Pareto-mapped functional cases
  2. Must-run sanity/smoke cases (basic scenarios, low bug yield)
  3. Remaining functional unique executed cases with 10 < exec count ≤ 50
  4. Remaining overall unique executed cases with 10 < exec count ≤ 50

🔧 5. Infrastructure Improvements

Must-have improvements that apply across all automated suites:

🔥

Smoke Tests

Lightweight pre-suite validation to confirm DUT and environment readiness before any test execution begins.

PHASE 1

🔄

Setup Recovery

Automated recovery mechanism when DUT or test environment enters a bad state mid-run. Prevents cascading failures.

PHASE 1

🧹

Better Teardown

Reliable state cleanup between test cases to prevent state leakage and ensure test isolation.

PHASE 1

⚙️

Better Setup

Idempotent setup that handles partial failures gracefully. Re-runnable without manual intervention.

PHASE 1–2

🌐

Cross-Product Smoke

Smoke tests covering multi-product scenarios for shared suites like WiFi (408234).

PHASE 2

📉

Flake Reduction

Identify and fix unstable automated tests. Target: flake rate below 5%.

PHASE 2–3

👥 6. Ownership & Execution Matrix

WiFi (Suite 408234 — shared across products)

ProductPOCPhase 1Phase 2Phase 3
EFDTBDTBDTBDTBD
FireTVTBDTBDTBDTBD
TabletTBDTBDTBDTBD
E-readerTBDTBDTBDTBD

Bluetooth

ProductSuite IDPOCPhase 1Phase 2Phase 3
EFD393394TBDTBDTBDTBD
FireTV403592TBDTBDTBDTBD
Tablet23932TBDTBDTBDTBD
E-reader152169TBDTBDTBDTBD

Smarthome (EFD only)

TechnologySuite IDPOCPhase 1Phase 2Phase 3
MoW / MoT / Zigbee408040TBDTBDTBDTBD

Co-existence

ProductSuite IDPOCPhase 1Phase 2Phase 3
EFD408038TBDTBDTBDTBD
FireTV23811TBDTBDTBDTBD
Tablet379788TBDTBDTBDTBD
E-reader380241TBDTBDTBDTBD

🏷️ 7. Test Case Classification

ClassificationDefinitionRule
Functional Test Case Cases focused on core feature validation Section trail contains "functional" (case-insensitive), excluding keywords: ugs, oobe, remote, asha
Overall Suite All test cases in a given TestRail suite No filter — full suite inventory
Unique Executed (2025) Cases actually run at least once in 2025 Example: Suite has 1000 cases, 600 executed → target the 600 first
Must-Run Sanity Basic scenarios mandatory every cycle Rarely yield bugs but essential for baseline confidence. Elevated with Phase 3.

📅 8. Timeline

MilestoneTargetStatus
P0 TestRail optimization + deduplication4/3✅ Complete
P0 Data extraction + prioritized case listsWeek of 4/7🔄 In Progress
P1 Development kickoffWeek of 4/14⏳ Upcoming
P1 Infrastructure improvements (smoke, recovery, teardown)Parallel with P1 dev⏳ Upcoming
P1 CompletionTBD (based on case count)⏳ Upcoming
P2 Development kickoffAfter Phase 1⏳ Upcoming
P3 Development kickoff + Pareto overlayAfter Phase 2⏳ Upcoming

📈 9. Success Metrics

Automation Coverage
TBD%
Per suite (overall & functional)
Manual Hours Saved
TBD
Reduction per sprint
Flake Rate Target
< 5%
Automation stability
MetricDescriptionTarget
Automation Coverage %Per suite — overall and functionalPhase-dependent
Manual Execution ReductionHours saved per sprint from automated casesMeasurable per phase
Automation Pass RatePercentage of automated runs passing> 95%
Flake RatePercentage of non-deterministic test failures< 5%
Time-to-AutomateAverage days to automate a case per phaseTrack per phase
Duplicate Reduction% of duplicates removed post-RAG deduplicationMeasured in Phase 0