~/conference

TestCon Europe 2025

testers, test automation engineers, QA managers, test architects, devops engineers, performance engineers

fuzz testing web APIs; continuous API mocking; Playwright UI and API testing; agentic AI testing; AI driven UI and API automation; CI/CD observability and DORA; performance testing and tuning; automated vs manual accessibility testing; Windows desktop app test automation; Java test framework SPI extensions; network chaos simulation for resilience

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Practical Strategies for Building and Maintaining a Thriving QA CommunityMikko Paloheimo38m
Built an internal OP Tech Academy with 6 learning towers (QA, DevOps, data, security, AI, design) offering 6–11 week courses run by internal mentors, spring…
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Spec Driven Development with Kiro: Ensuring Quality and Traceability in the AI EraHaim Michael45m
Kiro runs as an agentic IDE built on VS Code and enforces a specs‑first workflow: requirements → design → task list, with AI executing tasks only after…
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Test-driven Development, AI, Pair Programming, Agile TestingChris Harbert47m
Argues for writing tests first and using AI as a pair programmer, demonstrating live with Claude Code and a Cucumber TypeScript setup in VS Code; initializes a…
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It's Inevitable, Mr. Anderson: Machines, Humans, and the Future of TestingAlexander Gyulai42m
Auto1 Group deploys about 15,000 changes a year across ~900 services and uses five AI agents that four QA engineers build to augment testing workflows. Agents…
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Value, Money, and Costs: The Ultimate Common LanguageVitaly Sharovatov46m
Argues that testing is best framed as an economic investment, running 1–3 day workshops that map managers’ monetary fears to ISO quality attributes and choose…
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How John Started to Like TDD (Instead of Hating It)Nacho Cougil46m
Compares three concrete implementations in Java with Spring Boot: starting at the database, starting at business logic, and starting from the external endpoint…
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Leveraging AI and Data Virtualization for QA in ERP ImplementationsDean Bodart44m
Claims a proprietary SQAI Suite speeds ERP testing about 47% faster by auto‑generating context‑aware test cases and wiring into test management (Zephyr…
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Testing Parquet Support in ClickHouse Using CombinatoricsDavid Mnatobishvili39m
Demonstrates that a combinatorial test harness generates real Parquet files with a custom tool parquetify (based on Apache Parquet Java), drives ClickHouse…
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Breaking Boundaries with Adversarial TestingAdonis Celestine35m
Claims that adversarial testing plus red teaming uncover real LLM failures, shows concrete exploits like Dan exploit, token smuggling and multi‑turn crescendo…
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Defining “DevExT”, the Developer Experience in TestingThomas Schoemaecker44m
Claims a 4–5× innovation boost from better Developer Experience in Testing and backs it with concrete measures: BrowserStack adds Test Observability, a unified…
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Driving Motivation in Diverse TeamsRomina Pierce44m
Claims that leadership is 75% men and 64% white (McKinsey) and that 85 million specialist and manager roles go unfilled by 2030 drive concrete fixes: McKinsey…
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How to Create Your QA Dream Team StructureMagdalena Rutkowska46m
Compares seven QA structures and gives concrete tradeoffs so decisions hinge on context not buzzwords: pick structure based on maturity and size, product…
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Fuzz Testing Web APIs: Overview of Existing ToolsAndrea Arcuri45m
Compares concrete tools—EvoMaster, CATS, Restler, Schemathesis—and reports experiments on real systems (a lab comparison over 36 APIs and deployments at…
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TOP 5 Modern Stereotypes in QA WorldAna Palchevska45m
Five concrete claims and actions: lists five modern stereotypes, argues AI won’t replace QA for 10–20 years while urging teams to pick and personalize 1–3 AI…
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Navigating Remote QA: How to Build and Scale High-Performing Teams VirtuallyShushan Aspaturyan43m
Concrete claims, concrete practices: a remote QA team moves through five phases of team development and is held up by five pillars: safety, structure &…
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Agile InteractionRiikka Alajoki38m
Claim: primitive reactions drive every interaction and can be shifted with small practices. Evidence: a program of 350 QA professionals runs about six million…
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A Quality Hero ComplexRick Tracy42m
Talk argues that testers develop a Quality Hero Complex that hoards responsibility, creates learned helplessness, and burns people out; evidence includes…
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Game Theory and the Art of Teamwork in Software DevelopmentNikolaj Tolkaciov39m
Claim: applying iterative Prisoner’s Dilemma to engineering teams produces concrete tactics not platitudes. Evidence: a tournament of 14 submitted strategies…
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Continuous API Mocking and Testing with Microcks, Keptn, and TestkubeMario-Leander Reimer50m
Demo repository installs Microcks, Keptn, and Testkube on a local Kubernetes cluster, auto-generates mocks from OpenAPI/AsyncAPI/SOAP specs and validates real…
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Tester’s Mindset: Rethinking Software Testing Through MentorshipMarina Ernst42m
One year of running a training program produces concrete results: an iterated curriculum and mentoring routines that mitigate confirmation anchoring and…
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Plan Automation with 5% Rule: The Incremental ApproachMariami Goginava45m
Claims a repeatable 5% Rule milestone: deliver at least 5% new automated coverage per short period (week/month/quarter) and iterate. Uses a quarter-based model…
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Practical LLM Evals: Down-to-Earth Tooling for EveryoneJustas Lauzadis44m
A hands-on runthrough of tooling and a concrete experiment that actually measures outcomes not buzzwords covering local LLMs via Ollama/Open WebUI and models…
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Navigating the Testing Wilderness: Mind Maps and AI as Your Trusted CompassIgor Goldshmidt46m
Claims that combining visual mind maps with AI turns chaotic requirements into actionable test plans, showing a draft in four minutes generated from PDFs and…
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82 Bugs I Collected in a Year You Won’t Believe Made It to ProductionFrancois Martin42m
Title promises 82 but actual haul is 439 bugs gathered over about two years, each screenshoted and classified; counts show UI issues dominate with responsive…
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Performance Testing and Tuning of Web ApplicationsDavid Matejcek45m
Uses Java with embedded GlassFish and testcontainers, runs 500 concurrent threads in repeated five‑second iterations, creates up to 500,000 users and measures…
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Real World Playwright Case Studies That Will Change Your Perspective!Ashish Ghosh43m
Large-bank case studies show Playwright replacing Selenium to run multiple user flows inside one Chromium process with browser contexts that cut memory and…
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Testing Documentation: Why So Technical?Ana Duarte44m
Documentation must explain the why and the how and show it works: X‑ray claims over 10 million users and handles 100 million test cases per month, docs live in…
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Practical Ideas on Building Quality CultureAlena Badzilouskaya45m
QA drives concrete changes: set up custom ADO/Gyra risk items and attach them to releases, build dashboards showing traceability and burndown, and score bugs…
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Testing Agentic AI Applications: Beyond Traditional QASai Krishna, Srinivasan Sekar43m
Concrete failures, tools, counts and fixes: Voice AI Agent: 20+ deployments where the agent correctly parses “Q3 sales figures” then autonomously appends…
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QA Trends and Concerns - How to Stand Out Through Test Automation and ScrumSpyros Katopodis46m
AI-generated pipelines at Zebra convert Jira epics and docs into a single feature document extractor then to CSV test cases and into automated Robot Framework…
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We Are The Testers: You Will Be AssimilatedRick Tracy37m
Proposes to flip the ratio from many devs per tester to teams with one or two developers and four testers — a test architect, test engineer, analyst…
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The Real Impact of AI in Software TestingDavid Mnatobishvili, Dean Bodart, Filip Hric, Justas Lauzadis, Matthias Rasking46m
Panelists argue that AI changes testing by shifting work toward code reading, data science and error analysis rather than eliminating testers, citing many…
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Measuring Performance with Functional Tests: A Low-Effort Approach for High ImpactPeter Sabev42m
Proposal shows that adding zero-budget timestamps to existing functional tests produces actionable metrics: record start/end times, add granular stopwatches…
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Quality Leadership: Building and Growing Strong Testing TeamsAna Duarte, Ashish Ghosh, Leigh Rathbone, Mariami Goginava, Tatyana Velikanova, Vitaly Sharovatov47m
Claims that the Belbin model produced the highest‑performing hires, that reducing QE headcount raised team efficiency, and that requiring basic API skills via…
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Compliance, Security and Ethics: The Tester’s New FrontierAdonis Celestine, Angel Petrov, David Matejcek, Mikko Paloheimo40m
Discussion delivers concrete details: EU Digital Operational Resilience Act is already driving changes, the European Accessibility Act extends obligations to…
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Exploratory Load-Testing with AI Tooling - it's Time to Ramp Up!Ole Lensmar37m
Demonstration shows AI-assisted exploratory load testing that actually runs tests and inspects artifacts: Test Cube plus an MCP server driving K6 from a cursor…
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How to Use AI with Playwright for UI & API TestingMichal Slezak39m
Demos show specific, actionable results: AI generates Playwright tests from Trello OpenAPI and produces Page Objects from pasted HTML, Playwright codegen plus…
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Code Without Caution: AI's Path to the Next Digital DisasterLeigh Rathbone42m
Predicts a near-term disaster from putting more code live in the next five years as teams copy‑paste GenAI output, losing tacit knowledge, and cites GitHub…
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AI Driven UI Automation, API Automation and CICD IntegrationKaan Kiziltug44m
Claims an AI-driven framework built with browser use with LLM integration and Python that replaces brittle CSS selectors with visual element recognition and…
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The Fear of Becoming IrrelevantJonas Hermansson42m
Claims that AI automates the boring parts of testing and speeds delivery by generating test data, strategies and even production prototypes; experiments use…
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Zen-Driven Development - Protect Your SanityCsaba Szokocs55m
Practical claims and clear tactics: use the calendar as a priority tool (block deep work, reserve ~20% of your calendar), treat time as a budget, and start…
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How to Steal AI’s JobFilip Hric54m
Claims that AI didn’t replace a person by magic but displaced roles during pivots include a concrete layoff count of seven of 14 engineers and a rehiring after…
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The Better Quality Movement - How We Can Advocate for a Better Digital WorldChris Harbert58m
Exposes concrete failures and concrete fixes: a platform built to run 7,000 machine learning models at scale, real deployments that lose money — $590 million…
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One Strategy, One Community: A deep dive into a Global Testing TransformationAshish Ghosh43m
ING identifies 42 production incidents that were preventable, inventorying 44 white-box tools, 52 blackbox tools and 110 programming languages as root causes…
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Automated vs. Manual Accessibility Testing: Finding the Right BalanceAngel Petrov38m
Claims that automation finds roughly 30–50% automatable accessibility issues, with concrete tool mentions like WCAG checkers and a contrast/PDF checker, plus…
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Beyond Bugs: How AI Turns QA into Full-Cycle EngineersAlex Shershebnev48m
Claim: MCP lets LLMs use real tools so QA moves from filing bugs to reproduces and fixes bugs, using Context 7, custom MCP servers, and playrite to drive…
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Large Action Models Are Coming For Your Testing Frameworks!Adam Sandman45m
Claims that Claude 3.5 Sonnet and other Large Action Models can operate a desktop and perform agentic tests autonomously, demos show vision‑based clicks and…
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From Clickers to Coders: The SDET Evolution StorySiddhant Wadhwani43m
Claims concrete outcomes: generative AI is used to predict defects and generate test data, CI/CD plus Docker and Jenkins enable real‑time in‑sprint automation…
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AI Just Happened to Me : Help!!Shray Sharma38m
Covers concrete QA actions: prefers RAG pipelines over repeated fine‑tuning and retrains models only once, runs AB tests to compare old and new models, and…
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Do You Care about Requirements Management and Traceability? Use TestOps and AtlassianRina Nir40m
Claims a concrete six times faster reduction in traceability reporting by wiring Jira, Confluence, X‑ray, GitHub and test runs together; demonstrates automatic…
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CI/CD Observability, Metrics and DORA: Shifting Left and Cleaning Up!Peter Souter37m
Concrete claims and numbers: DataDog reports a test impact analysis that saves about 6,500 CI hours per month (~19 hours per developer) and exposes failures by…
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DORA, CSA, AI Act - What Does All of This Mean to Me as a Tester?Matthias Rasking46m
EU acts like DORA and the AI Act demand concrete testing actions not slogans: DORA mandates 24 hours major-incident reporting, annual tests of critical…
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Scalable Windows Desktop Apps Test Automation - Myth or Reality?Lukas Makaravicius31m
Claim: scalable, stable Windows desktop test automation is achievable; evidence: market analysis comparing Fly UI to Appium, image‑recognition tools and…
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Leveraging GitHub Copilot to 3X Your Playwright Test EfficiencyIgor Dorovskikh, Vasyl Shpak43m
Claim of 3X faster claim gets tested with specifics: GitHub Copilot and Cursor generate a login Playwright test from one prompt, Playwright MCP gives page…
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Strategic Business Functionality Testing: Accelerating Development Through MockingDarius Nemeiksis40m
Claims a homegrown proxy called Mox replaces fragile end‑to‑end dependencies with mocked REST/SOAP stubs, parses XML to JSON, and auto‑collects real responses…
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Developers Are (Not) Lazy! Why is It So Difficult to Get Programmers to Do Unit TestingDaniel Horn47m
Argues developers aren’t lazy but deprioritise tests under feature pressure and external demands, so testers stop enforcing hard KPIs and instead adopt…
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How Testers Can Help Paving the Future of Modern Requirements EngineeringDaniel Horn36m
Argues testers move left into requirements engineering by turning requirements into executable examples and early tests, claiming faster delivery and fewer…
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Karate: Beyond API testingBenjamin Bischoff44m
Karate proves itself as more than an API tool by showing UI testing against a real browser (Chrome, headless or Docker), a local mock server that returns…
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Extending a Java Test Framework with SPIBenjamin Bischoff37m
Concrete claim: Java's decades‑old Service Provider Interface (SPI) is the core of a plugin architecture that turns a monolithic end‑to‑end test framework into…
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Selenide: Make Java UI Tests Great Again!Andrei Solntsev39m
Claims that Selenide makes Java UI tests concise and robust by layering a testing API on top of Selenium, providing built on Selenium reliability with faster…
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Simulating the Chaos of Real-World Networks for Resilient ApplicationsWalid Tazout36m
An in-house test rig simulates real-world network chaos using a cheap OpenWRT router, a Flask UI and shell scripts that call tc traffic control, proving…
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