~/conference

HUSTEF 2025

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HIGHLIGHT05m
HUSTEF celebrates its 15th birthday with about 750 attendees and a festivallike venue inside a train station and claims measurable changes this year: a new…
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Human Experience Testing – Redefining Quality Engineering in the Age of AITariq King47m
Claims that AI will take over testing and that agents are the future come with concrete evidence: a patented autonomous-testing system, an open-source…
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AI in Software TestingTonislava Docheva08m
Demo of Xray’s concrete features and numbers rather than theory: a Jira-native test management tool that triggers automated tests, supports BDD and…
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Building Trust in AI AgentsHenri Terho, Szilard Szell29m
Claims a pathway to making agentic development actually reliable with concrete practices: choose and compare LLMs, add RAG and a vector database for company…
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Beyond Code: The Power of Thought Leadership in EngineeringLaveena Ramchandani25m
Argues engineers should push ideas beyond code by proposing concrete changes such as adopting DORA metrics, implementing an automation suite tweak from…
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Testing and Assuring AI-Based SystemsBryan Jones29m
The talk gives concrete testing steps and an assurance framework rather than hype: a 2i-built Assure AI checklist that scores systems by accuracy robustness…
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BEST PRESENTATION AWARD WINNERPrashant Hegde25m
Argues testers must add measurable business value by doing UX work: cites three reasons, recommends using heuristic evaluation against Jakob Nielsen’s 10…
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Scaling testing & test automation without losing controlSowmya Sridharamurthy40m
A team-wide overhaul replaces scattered frameworks with a single governance model, a common folder structure and a data-driven prioritization that cuts noisy…
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Value, Money, and Costs: The Ultimate Common Language for the Testing StrategyVitaly Sharovatov30m
Central claim: frame testing as an investment that reduces probability and impact of failures and present costs in money. Builds a half‑day workshop mapping…
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Critical Thinking for Testers in the age of AISteve Watson29m
Claims that studies show cognitive decline with increased AI reliance and that Microsoft and Melbourne University papers back it up, a concrete risk quantified…
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A Comedy of ErrorsLinda van de Vooren24m
Claims that after trying Java then Python for years the automated suites are brittle tests that need fiddling every run, concedes five years of struggle before…
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Talk about value, not testing – how to bring about rapid changeRob Lambert46m
Claims a move from long, 14‑month releases to weekly releases and eventually a startup exit (~£350–360M) by reframing testing as demonstrable value; engineers…
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Tester’s Inferno: 5 Circles of Software HellAdorjén Korényi10m
A short Nokia Platinum Partner speech lists five concrete tester sins: blind belief, black‑and‑white thinking, loss of curiosity, passing issues like a…
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Your Metrics Are Lying: How to Stop Reporting and Start LearningKatja Obring29m
Familiar metrics like test coverage, bug counts and cycle time often signal activity not impact; the QED framework insists on a clear question before metric…
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Taming your Dragon: Addressing your technical debt beastAndrew Brown30m
Claim: technical debt is a human trade‑off problem driven by biases, emotion and role incentives rather than a pure engineering flaw. Cites a dice gamble where…
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30 years in testing – Battles won and battles lostGitte Ottosen44m
Starts testing in 1995 on Nexus/CCIS where hardware-first procurement leaves a system with 256 kilobytes shared and monochrome screens, then helps throw it…
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Behind the Scenes: A Software Tester’s Journey in Understanding the BusinessMarta Firlej29m
Shows actual numbers and mechanics: half of client fee goes to people with onboarding, tools and overhead eating most margin; sales and legal take 8–9 month…
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Using AI to Create Better Requirements and DesignsPaul Gerrard30m
Claim: AI can improve requirements and designs enough to speed trustworthy code generation. Uses Claude as the LLM, a seven‑layer engagement model (gopher →…
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AI is not a god that we can trustArd Kramer26m
Claims that an off‑the‑shelf ML face‑match service bought off the shelf fails on Dutch driver’s licenses, misses obvious fraud, and forces manual fallback…
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Using AI, statistics, and set theory to know what to testSimon Mavi Stewart45m
Claims target determination from the build graph plus heuristics and ML cut test runs dramatically: tools named include Bazel, NX, TurboRepo, Gradle, Maven…
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How to train your AI?József Kreisz30m
Shows concrete, repeatable work: Cicero that writes Oracle SQL, Volcanus that generates CSV/Oracle test data, and a Hermes that drafts test cases. Describes…
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Unlocking Inclusion, How to Get Started With A11y TestingCamilla Ellyton29m
A simple four-rule checklist claims to reveal 80–90% of accessibility issues and the team validates it by doing a manual gap analysis that produces a long bug…
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Permanent marker and other lies that holds you back!Gregorz Niczyporuk10m
Claims that "permanent" truths last forever get tested head on: checked 17 marker brands and every one fades with time, a surprising empirical counterexample…
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When UFO Lands! Analyzing User Feedback During a Massive Customer MigrationM. Vanek, M. Veljacik30m
A lightweight, LLM‑driven pipeline ingests in‑product feedback and uninstall surveys into BigQuery, labels and translates comments with the Gemini API, and…
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Leading QA Initiatives for Strategic Business ImpactAndreea Cosariu27m
QA initiatives use OKRs to turn scattered improvements into measurable objectives with three to five key results; a one‑pager status template lists objective…
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Creative Test Reporting Integrating Pixar Storytelling Ideas into SW Quality AssuranceUdita Sharma28m
Claims that applying 22 Pixar rules to test reporting makes reports actionable not decorative, shows templates with a one-line management summary and a…
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From Resistance to Results: Navigating a Test Automation Tool ShiftHugh McCamphill28m
Claims a concrete migration: replaces cucumber + Selenium with web driver IO to cut flakiness, gain automatic waiting, built‑in retries and Puppeteer…
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Get a grip on your quality by using Quality ViewsSonja Nesic28m
Adopts Colin Breck’s Quality Views to create a functional system map, scores each component against 10 dimensions using whole-team scoring of zeros and ones…
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Putting the Q in DevExMartijn Goossens30m
QA maps concrete actions to DORA metrics and shows how test work changes those numbers: deployment frequency, lead time for change, change failure rate, mean…
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Contracts for HireCraig Risi32m
Demo shows breaking a contract live then fixing it, proving a contract change fails builds without running dependent services. Contracts run at unit-test speed…
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AI in Testing: Magic Wand or Pandora’s Box?Brijesh Deb26m
A concrete case: an AI test tool costs $250,000 mistake and flags 503 flagged, 25 real issues because of data bias, overfitting and opacity; UI hex tweaks…
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Quality as an attitude – From Testing to Quality Engineering to…what?Richard Seidl28m
Claims that quality shifts from checkpoints to quality as a shared team responsibility, asserts AI becomes a colleague not a replacement and cites hugging face…
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API testing journey through web protocolsDawid Pacia31m
Five API styles share ~25% usage each so REST is not enough; the talk compares REST, SOAP, GraphQL, WebSockets and Webhooks with concrete testing implications…
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Stop Sabotaging Yourself: Break Mental Blocks to Actually Use What You LearnPéter Illés27m
Claim: hidden internal blocks—not lack of time or tools—stop conference learning becoming action. Uses a Slido realtime questionnaire and cites Harvard…
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From generic to specific test automation architecture with PlaywrightAttila Bulenda28m
Shows a concrete recipe: map the gTAA layers to Playwright’s code generator for bootstrapping, a refactored Test Definition as reusable helpers and locators…
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Enhancing Performance Test Results with ML & LLMs: Communication Beyond the NumbersErnest Marza C.29m
An automated pipeline turns raw K6 load tests into stakeholder-ready PDFs by cleaning anomalies with isolation forest, explaining feature importance and…
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Beyond A/B: Test automation approaches for web variants from A to ZGiuseppe Donati28m
trivago runs roughly 100 concurrent AB variants and shows that exhaustive end‑to‑end coverage is impossible; engineering builds a release controller, schedules…
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Framework for Thriving Remote LeadershipMichal Buczko28m
Claim: a practical framework of three values — Trust, Growth, Advocate — implemented with concrete practices: weekly one-to-one slots owned by team members…
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New Adventure Begins – Discovering New PerspectivesZsolt Hargitai05m
IT spending is projected at $5.6 trillion and nominal growth is ~9.8% with about 5% real growth, while budgets reallocate toward AI infrastructure, software as…
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Zen of TestingMesut Durukal31m
Connects specific QA practices to Japanese analogies and names concrete actions: build CI/CD and test automation frameworks with reusable fixtures, log and…
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Lizard OptimizationGojko Adzic46m
Claims a concrete case: mixing exploratory testing, cheap observability and controlled experiments unlocks 500 times growth in a year by following unexpected…
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Evolving performance assuranceLeandro Melendez31m
Argues that modern performance shifts from obsessed load testing to continuous performance driven by observability and CI/CD with small, frequent checks…
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The Feedback Loop from HellDavy Kenis30m
Slides expose concrete QA anti‑patterns and remedies: TCSD (test coverage stress disorder), false AI trust syndrome, and the “throw everything to QA”…
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How to train your robot?Irja Straus30m
Experiences from a robotics startup show concrete choices: using Gazebo for simulation to validate customer warehouses, training perception models, and trading…
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Eureka! I Won’t Be an Automation TesterMagdalena Listwan27m
Personal career story about trying an automation course, CliftonStrengths and personality.co tests revealing a preference for asking questions and connecting…
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Securing LLMs: Insights into OWASP top 10Maryia Tuleika28m
Claims include concrete exploits and tests: prompt injection works on chatbots (example: a customer bot revealing a previous user name), a PyTorch library…
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Testing Cloud Applications Without Breaking the Bank: Testcontainers & LocalStackFernando Teixeira30m
Claims a concrete setup: Testcontainers + LocalStack spin up AWS emulations, create SQS queues and S3 buckets, run Playwright-driven UI flows, then clean up…
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