A risk-based quality gate for CI/CD pipelines that supports informed release decisions in enterprise systems.

QA Leadership Toolkit - Risk-Based Testing, Gen AI Strategy & Team

Black-box-first skill suite for manual test design, risk-based prioritization, minimal test case synthesis, and release gate decisions. / ブラックボックス前提で、手動テストの観点出し・リスク優先度付け・最小ケース化・リリースゲート判定まで行う skills

Senior QA Release Readiness Portfolio | Regression Strategy | Risk-Based Testing | Defect Governance

Risk-based QA governance framework demonstrating test strategy, quality gates and incident lifecycle across e-commerce and IoT SaaS products.

Run CSTS/ISTQB/ISO-aligned QA, tests, and remediation loops for vibe-coded AI software

A QA engineering prototype that maps code/API changes to risk scores, impacted areas, regression scope, and PR-ready quality gate comments.

Curated QA engineering notes on test automation, API testing, CI, coverage, and AI-assisted quality workflows.

DocQA is a collection of Python scripts acting as an intelligent QA engine. v2 contains AI-powered test case generator using local LLM (Ollama) with Risk-Based Testing, automatically generates, scores, and prioritizes test cases from raw requirements.

QA test strategy playbook covering risk-based testing, release readiness checklists, estimation models, and quality governance practices.

RBT Security Layer — FastAPI bot detection system with RandomForest ML, Redis rate limiting, Prometheus metrics and Docker Compose orchestration. Built for Unit 23 Risk Analysis & Systems Testing (MSMK / Pearson BTEC HND).

AI-assisted QA lab for fintech payment systems: risk analysis, test generation, API checks, and quality reports. Public

Comprehensive Test Plan & Bug Report portfolio. Demonstrates strategic planning, risk-based testing, professional defect reporting standards and CI-focused smoke automation using Vitest.

Multi-layer assurance harness for golf-web-app — contract (Schemathesis), perf (k6), accessibility (axe), data quality (pandera), Playwright E2E, AI evaluation (multi-model golden-sets) — plus three local-Ollama agents (risk prioritisation, CI triage, exploratory probing). Risk register and findings log are first-class artifacts.

A practical QA Engineering playbook covering quality practices before, during, and after software development.

Senior-level QA Test Strategy & Quality Engineering Playbook | Risk-Based Testing | CI/CD Quality Gates | Release Decision Framework

Quality Evidence Graph is a QA runtime that connects requirements, code changes, risks, test layers, evidence artifacts, and release gates into a reproducible graph for risk-based test placement and Go/No-Go decisions. - Quality Evidence Graph は、要求・コード差分・リスク・テストレイヤー・証跡 artifact・リリースゲートを単一のグラフに接続し、リスクベースのテスト配置と Go/No-Go 判断を再現可能にする QA Runtime です。