~/conference

TestCon Europe 2021

test engineers, test automation engineers, qa managers, devops engineers, backend developers, mobile developers, data scientists

visual regression with neural networks; ui and accessibility frameworks in Java; graphql api testing; load testing tools and techniques; testing metrics for improvement; autonomous real-time testing; docker for staging environments; android test automation cookbook; mutation testing with PIT; observability for chaotic load testing; azure devops test automation; appium dockerization

titleauthorlength
Visual Regression Testing with Neural NetworksOliver Zeigermann45m
Convolutional autoencoder reproduces 256×256 grayscale screenshots with an 8-neuron bottleneck and flags pages that the network cannot reconstruct well so…
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UI, Api and Accessibility Frameworks Live Coding: Quick Set-Up and First Tests in JavaSzymon Ramczykowski45m
Java + Maven + IntelliJ generate a runnable test project with one command and a five minutes claim is actually demonstrated: Karate handles API create read…
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Basics of GraphQL and Testing GraphQL APIsPragati Sharma52m
Claims that GraphQL returns “nothing more nothing less,” exposes a single super endpoint and usually replies 200 even on logical failures, and demonstrates…
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Softs You Need to Run the Perfect Load TestChristina Thalayasingam44m
Performance matters: surveys show 11% fewer page views and a 16% drop in customer satisfaction from small delays, and Amazon links every 100 ms faster to ~1%…
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Taking Quality to Next Level: Metrics for ImprovementAnton Angelov46m
Quality improvement follows concrete practices: wait until testing matures to TMMi level 5 then collect data, run monthly reviews, and act on trends. Metrics…
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Tools for ART - Autonomous Real-time TestingThomas Fehlmann45m
Claims a practical pipeline that turns field logs into digital twins and runs them as test instances inside Kubernetes sidecar containers, using…
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Docker and the Path to a Better Staging EnvironmentGil Tayar44m
Demonstrates building a real staging stack: a Node.js/React blog plus MongoDB, containerized with Docker Compose for single-host staging and deployed to a…
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Industrialize your Android Tests: a Tools and Methods CookbookThomas Carpentier, Ellinor Kwok39m
Shows concrete tooling and a working CI pipeline: Appium Espresso Detox for frameworks, Genymotion Cloud virtual devices connected via adb, and Bitrise…
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Mutation Testing with PITRafal Leszko43m
Links a 1999 Mars failure to weak tests and proposes mutation testing as the concrete fix: run PIT mutation testing, generate mutants (change + to − etc.), and…
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How to Tame Bugs in Production: Successful Bug Managing Strategy in Five StepsElena Bazina46m
Clear five-step recipe: accept bugs as normal, evaluate impact by actual user counts and business loss (Candy Crush Saga cites 255 million monthly active users…
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How Testing is Evolving in DevOpsSzilard Szell47m
Covers how testing moves left and right in DevOps with concrete tactics and tools: embeds QA into CI/CD pipeline design, runs keyword-driven automation with…
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The Art of TeamsRalph van Roosmalen40m
Presents a specific claim: successful teams share six components — clarity, impact, trust, conflict, reliability and results — and gives concrete practices to…
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Automated Testing Using Azure DevOpsRoman Nedzelsky46m
Azure DevOps runs CI/CD pipelines that pull from Git/GitHub, spin up Docker or VM agents, run unit and UI tests (MSTest, Selenium, Postman/Newman), measure…
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Schrödinger's Pokémon: Observability for Chaotic Load TestingNicole van der Hoeven45m
Demonstrates a reproducible setup: a PokeAPI app on Kubernetes (DigitalOcean) with Prometheus + Grafana for metrics and k6 with xk6-chaos to run load and kill…
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Orchestrating Your Testing Process - Coordinating Your Manual and Automated Testing Effortsjoel montvoliski46m
Argues that the real outcome is an orchestrated testing process not separate silos and shows concrete numbers and behaviors: organizations run 5–7 automation…
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Does Low-Code mean Low Testing?Marjolein Pordon40m
Argues that low-code still needs focused testing and gives concrete outcomes: a booking app goes from brainstorm to production in two days from brainstorm to…
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The Art of (Backend) Component TestingYoni Goldberg47m
Argues that the best balance is component tests that run the entire microservice plus infra (not full E2E or tiny units) and shows concrete tactics: use docker…
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Panel Discussion | Test Automation TrendsEllinor Kwok, Thomas Carpentier, Kerim Satirli, Yevheniia Hlovatska45m
Claims: mobile testing moves to the cloud for device variety and cost savings, teams run thousands of devices in parallel; recommended tools include genimotion…
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Panel Discussion | How to deal with bad requirements in testing?joffrey just finis45m
Claim: perfect requirements rarely exist; aim for good enough and conversations that turn vagueness into testable outcomes. Practical fixes: link tests to…
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Continuous Performance Testing in DevOpsLee Barnes41m
Claim: traditional performance testing is dead for DevOps; instead build a continuum of performance data by adding small, frequent checks at commit (use…
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The Pony Express and How Technology Moves FastPJ Hagerty57m
The central claim is concrete: a coast-to-coast courier cuts delivery to 10 days but endures only 18 months before the telegraph obsoletes it, illustrating…
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Stop Trying to Fix EverythingSteve Upton58m
Argues that root causes are fuzzy in complex systems and that five whys and action-item rushes often stop learning. Recommends running a blameless postmortem…
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How to Make Developers LOVE Writing e2e TestsYevheniia Hlovatska45m
A team at wix.com moves end-to-end ownership from QA (Java + Selenium) to developers, switches test tooling and some QA to JavaScript, and reports concrete…
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Excellent Testing Starts With Excellent End-User Requirement Engineering and Specificationsean mcguire44m
Argues that running focused design-thinking workshops produces concrete requirements and test cases rather than fuzzy ideas, and that workshop outputs become a…
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Automating Audio Tests? Sounds Good!Roman Zakharov39m
App automates audio verification by exposing Unity UI and evaluation JSON over grpc, letting tests assert per-note correctness and timing; live service returns…
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Fundamentals & Practices for getting a High-Performance TeamGeoffrey van der Tas44m
Claim: half the job is communication not coding and getting a high‑performance team requires concrete steps not platitudes. Teams start with a two‑day…
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Is Survival of the Fittest Only for the Fastest?Wim Demey47m
Argues that manual testing survives because automation often fails in practice: unattended CI/CD batches stop for server updates or screensavers, large…
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Is Testing Like Electricity?Phil Royston01h 00m
Title proposes testing ≈ electricity and the talk proves it with concrete parallels: historical wins like the IBM System/360 (20,000 installs then 100,000…
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Proactive ProgrammingPJ Hagerty31m
Proactive programming claims that investing up front in foundation, tests and monitoring prevents later firefights; it favors a tight feedback loop of unit…
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How to Build a Test Automation Tool That Works in AgileIstvan Forgacs46m
Tool roadmap shows four levels from Selenium-based code to Gherkin++ codeless scripts to an implementation‑independent model. The actual method is Action State…
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Improved Regression Testing in AgileGjore Zaharchev45m
Claims a concrete method: divide regression into six-group heuristic (recent, core, risky, configuration‑sensitive, repaired, chronic) and run a short smoke…
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Deming's Management Philosophy for Testers TeamsSteve Hoeg45m
Shows the concrete claims and tools: the red bead experiment demonstrates individual effort barely moves defect rates, with 85% system attribution for output…
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Ready to Run the Risk? - Applying a Risk-Based Approach to TestingAdam Sandman53m
Argues that a risk-adjusted test plan beats vague coverage by mapping identified risks (often 100 down to ~20 exposed) to concrete tests in a spreadsheet…
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Acceptance Testing Sounds Easy, But Is Hard to Get RightPeter Gfader01h 00m
Talk argues that acceptance tests must be concrete: executable examples, not vague prose. Demonstrations include an auction scenario and an authorization…
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Inside Software Architecture - Where the Bodies are BuriedAdam Sandman41m
Claims that architecture guides risk-based testing and that refactoring often touches far more code than expected are supported with specifics: C#/JavaScript…
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Full-stack Testing in is the New NormalChristina Thalayasingam36m
Claims that full‑stack testing catches issues across UI, API, backend and middleware earlier, yields faster feedback and fewer late bugs, and transitions into…
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Testing a Data Science ModelLaveena Ramchandani26m
Claims a practical workflow: models use genetic algorithms producing stochasticness, testing relies on a baseline run compared to new runs with an accepted…
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Integration Testing from the Trenches - RebootedNicolas Fränkel40m
Argues for concrete practices: run fast unit-like tests on every commit and run slow integration suites at intervals, name tests so Maven Surefire handles fast…
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Just Ship It!Nikolaj Tolkaciov38m
Claims that continuous deployment reduces sprint chaos by forcing safe partial releases and automation backed by monitoring and quality gates. Cites DORA…
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Appium Dockerization: From Scratch to Advanced ImplementationSargis Sargsyan44m
Shows a working Appium-in-Docker pipeline: Appium server, adb and VirtualBox VM for USB passthrough, emulator-in-container, and a Selenium hub wired together…
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Common Strategy to Test IoT for Different IndustriesVipin Jain50m
Claims fast growth from a few billion to 50 billion devices and ~$560B market and specific tooling: packet inspectors like Wireshark and tcpdump plus cloud…
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Extreme Shift Left / Out with the Requirement Engineer?Wim Decoutere54m
Argues testers can take on requirements engineering to reduce duplicate work and write more testable requirements, citing that over 50% of defects originate in…
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Usability Testing with Zero BudgetPeter Sabev46m
Claims a full usability program at zero cost by recruiting 20+ users (friends, colleagues, family), testing wireframes or products with simple timing and…
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Test Automation MonstersPhil Royston, Marcel Veselka01h 08m
Conference claim: digitalization and DevOps force “automate everything” but reality is tool churn and fragility. Organizers name Selenium, Cypress, Playwright…
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