
On-Site Testing Conferences: Why Networking Needs Presence
Istanbul's software testing conference grew from a risky debut to an event linking testers of Europe and Asia, with translation in every track.

Learn from global testing leaders and innovators.

Istanbul's software testing conference grew from a risky debut to an event linking testers of Europe and Asia, with translation in every track.

More test automation does not mean better quality. Why flaky AI tests, missing strategy, and the wrong roles quietly hollow out your test suite.

Agentic systems are not just agents working alone. Between 8 and 12 agents can cover testing end to end, but humans still judge what AI cannot.

AI in software testing leaves a faulty fraction: hallucinated requirements, invented test cases. Business knowledge keeps expert testers in demand.

Lean management starts with understanding a problem instead of rushing to a quick fix. That breaks the repeat cycle and exposes waste teams overlook.

Performance monitoring catches slowdowns users abandon after five seconds. Alerts, AI log analysis and a small replica find the exact query at fault.

End-to-end test automation stays maintainable with a dedicated HTML test attribute, a central mapper, a three-layer framework and one naming convention.

API testing depends on the protocol: REST, GraphQL, webhooks or MCP. It runs more stably than browser testing, and agent-friendly APIs save tokens.

LLMs in software testing pay off where language is the raw material: keyword docs, rule-based reviews, defect messages. Reasoning models review better.

Testing complex systems: complex vs complicated, and why software behaves more like weather than a bridge. Safe-to-fail experiments help teams learn.

Holistic engineering treats career frameworks, delivery pressure and feared monoliths as architecture variables. Ignoring them makes change harder.

A children's book explains software testing through dragons and knights, and a 12-year-old at a book fair said she wants it as her profession.

TMMI shows companies where their test processes stand and what comes next, from basic planning to preventing defects before they arise.

Learning and unlearning with AI: students who leaned on ChatGPT retained less. Which skills AI cannot replace and which work habits to let go of.

Agile meant something once. Now it means almost nothing, and that loss created a real opening for organizational development that actually fits.

Software tester skills start with communication: a bug nobody understands stays unfixed. Critical thinking counts when AI confirms wrong assumptions.

AI in regulated industries starts with strategy: a medical lab mapped stakeholders, narrowed the scope and put compliance on one page with a bow tie.

COBOL unit testing brings mainframe testing into SonarQube, Cucumber and Jenkins. A Java API turns the assertions into debugger scripts.