Quality Analyst, Not Quality Assurance.
Notes from testing practice: test design, automation, quality analysis, and AI-assisted testing. Browse series and tags to follow a topic, or start with the latest articles.
Disaster Recovery Testing field guide: validate recovery objectives, backups, restore, failover, data integrity, and evidence.
Read articleFailover Testing field guide: validate detection, routing, connection recovery, consistency, split-brain protection, and return.
A stage-by-stage look at AI in the software testing lifecycle, its practical limits, and the evidence teams should keep.
Circuit Breaker Testing field guide: review thresholds, state transitions, fallback, probe traffic, reset, and evidence.
Dependency Failure Testing field guide: model timeout, error, slow response, stale data, fallback, retry, and recovery evidence.
Agent Long-Running Testing field guide: review progress, checkpoints, leases, cancellation, and evidence across extended agent jobs.
Multi-Agent Testing field guide: review role boundaries, handoffs, shared state, conflicts, tool access, and evidence.
Trace plans, tool actions, observations, state changes, and budgets to spot repeated work and unsafe loop termination.
Combine Boyd’s OODA loop and Rumelt’s strategy kernel to observe reality, diagnose constraints, make choices, and learn through coherent action.
Assess failure certainty, safe retries, compensation authority, state reconciliation, escalation, and user communication.
Amna Zafar's four-stage AI-assisted automation workflow shows why QA still needs to verify real behaviour, business rules, and trustworthy quality evidence.
An introduction to SQEM’s seven quality domains, eight principles, evidence levels, practical adoption, common questions, and the 12-article series.
