TestCon Vilnius 2018
as the organisers put it
TestCon Vilnius is the leading conference for everyone willing to learn testing trends, best practices and make their contribution to the smoother software development cycle and quality. The event provides an excellent platform to keep up-to-date with the latest industry trends and exchange experiences.
who it's for
test automation engineers, test engineers, qa managers, performance engineers, security testers, devops engineers
topics
test automation maturity; Selenium integrated performance tooling; visual regression testing; responsive website testing; risk based testing; risk based code coverage; distributed apps testing; automated security scanning; sentiment analysis automation; resilience testing and failure injection; agile leadership and quality engineering
| title | author | length |
|---|---|---|
| What it Takes to Become a Performance Engineer? | Canberk Akduygu | 30m |
Performance engineering is a discipline where one has to deal with many technological challenges. While manual and automated testing deals with the UI or… | ||
| Web Application Performance Testing from Users Perspective | Jacek Okrojek | 35m |
Claims that browser-side metrics beat server-only tests and shows practical tooling: web page test filmstrips reveal visual progress (example page starts… | ||
| APEX: Find Your Ideal Line | Niek van Malsen, Wouter Ruigrok | 34m |
The talk maps racing apex strategy to team quality and gives concrete engineering and process moves: use Selenium automation and CI/CD pipeline work to cut… | ||
| A Test Team's Unexpected Journey from Waterfall to Agile | Sakis Ladopoulos | 30m |
A test organisation abandons pure Waterfall for a hybrid agile process: Scrum drives development but is scrum encapsulated by initiation and transition phases… | ||
| Mobile Release Evolution | Sergej Mudruk | 35m |
XING moves from sporadic, months‑long releases to a centralized release train that coordinates ~12–13 domain teams and a dedicated release team, cutting time… | ||
| Test Automation: From Zero To Hero | Paulius Eidikas, Vaidas Mačiulis | 37m |
New frontend components force a rewrite so a fresh framework is built in about one and a half years using C# + Selenium + nUnit, with selectors generated from… | ||
| Opening Keynote: Blunders in Test Automation | Dorothy Graham | 42m |
Argues that testing tools don't test and only execute checks, not interpret results, so automation must target repeatable clerical work and not try to replace… | ||
| Test Automation Maturity Model | Arnon Axelrod | 30m |
Claims an organization moves through five maturity levels of test automation from ad hoc to an encompassing TDD-driven process and reports most companies… | ||
| Risk Based Testing in Agile Teams | Csaba Szokocs | 28m |
Claim: using risk-based test meetings per user story yields earlier problem discovery and produces "much less bugs" on the stories where it’s applied… | ||
| Modern Web Testing: Going Beyond Selenium | Dmitry Vinnik | 36m |
Argues for moving end-to-end tests from server-side Selenium bindings to client-side JavaScript tooling, shows a to‑do app and real code: webdriverjs for… | ||
| Expect the Unexpected: How to Deal with Errors in Large Web Applications | Mats Bryntse | 32m |
Shows how to implement real error monitoring for large JavaScript frontends: a tiny client logger (three lines of JS) sends stack and user context to a… | ||
| Spot the Difference; Automating Visual Regression Testing | Viv Richards | 37m |
Visual testing catches layout, color and placement regressions that Selenium DOM checks miss and a custom visual test framework on GitHub hooks into existing… | ||
| Panel Discussion: Future of Testing: Will Test Automation Put Manual Testing into the Shade? | Dorothy Graham, Arnon Axelrod, Adonis Celestine, Alexandra Nagy, Steve Portch | 39m |
Panelists argue specific, testable claims: machine learning can predict defects from five to ten releases of history and can auto-recover broken UI locators by… | ||
| Put Your TestOps Shoes on! Improving Quality by Process Automation | Dawid Pacia | 36m |
Claim: shift testing into production monitoring with KPIs instead of pass/fail, deploy to 1% of users and measure impact; practical bits: use Jenkins to flip… | ||
| Risk Based Code Coverage Analysis | Bartosz Szulc | 35m |
Combines clover reports with JIRA commit and bug-history to score lines by risk = probability × severity and map requests to code, stores everything in a… | ||
| MYTHBUSTING: Every Project Needs to be Automated | Alexandra Nagy | 40m |
Claim: automation is not mandatory for every project but depends on context. Case details: an insurance mobile app prototype with no signed contract, two… | ||
| 5 Ways to Boost Automation Effectiveness | Nikolaj Tolkaciov | 36m |
Five concrete fixes and measurable outcomes: false positives drop to zero by pinning exact failures and adding a cheap 1s explicit wait where animations break… | ||
| Develop Your Own Performance Tool Integrated with Selenium | Saar Rachamim | 32m |
Claims that an in-house performance tool integrates Selenium-driven long-run tests with process-level CPU and memory sampling, stores metrics in Firebase… | ||
| Agili-Fall-nication - The Temptation Island in the Testing World | Isabelle Robrechts | 32m |
Compares Agile and Waterfall by naming specific failure modes (like too much scope, poor prioritization, late defects, stalled decisions, missing management… | ||
| Automate Responsive Website Testing | Pranathi Birudugadda | 27m |
Demonstrates that using Galen actually automates visual checks by launching browsers at specified sizes, running spec files in plain English, and producing… | ||
| Doublers in Tests. Wiremock vs Mockito | Bartosz Szulc | 38m |
Compares Mockito and WireMock with concrete code examples and setup: WireMock runs as a standalone jar with embedded Jetty controlled by JUnit rules, replaces… | ||
| Closing Keynote: Examples of How to Move towards Zero Defects | Niels Malotaux | 39m |
Claims concrete results: a zero-defects target drives specific practices that actually reduce bugs — one case achieves 50% less defects almost overnight… | ||
| Better, Faster, Stronger - Delivering High Quality Products | Finn Lorbeer | 35m |
Claim: testing alone doesn’t improve quality — it only measures a preexisting bar. Practical moves: ship every commit with feature toggles, remove rollbacks so… | ||
| Why You Should Not Start an Agile Transformation | Anton Zotin | 33m |
Claims that agile yields four hundred percents improvement get tested against a realistic change curve and a Satir-style transformation model, showing long… | ||
| Testing Level Hard: Distributed Apps | Slawomir Zborowski | 39m |
Demo shows fault injection with blockade against a containerized app and reproduces a connection leak that triggers Redis "max clients" errors, caused by slow… | ||
| Automated Security Scanning in Payment Card Industry | Michal Buczko | 33m |
Claims integration of ZAP as proxy with WebDriver to run automated scans that map to OWASP Top Ten and satisfy PCI DSS audit evidence; generates and imports… | ||
| The Business Value of Quality | Finn Lorbeer, Nina Hillekum | 35m |
Argues that quality becomes a business enabler by moving left into requirements and pairing product analysis with testing, showing a microservice customer‑data… | ||
| Understanding User Feedback Using Sentiment Analyser and Analytics Automation | Rohit Singhal | 41m |
Many good product and project teams try to understand different things when they’re asked to build a new feature. But how do we know whether our reasons are… | ||
| Human System Design Testing | Oana Juncu | 33m |
Uses the Cynefin model to claim the iterative loop Experiment & Learn is the right systemic approach and that chaos becomes an opportunity when framed as anti… | ||
| CLOSING KEYNOTE: Elastic Leadership for Testers | Roy Osherove | 39m |
Introduces an elastic leadership model with three concrete team states: survival mode, learning mode, and self-organizing, and prescribes actions for each —… | ||
| Test Automation by Example | Stefaan Luckermans | 35m |
Describes a hands‑on workflow that goes from idea to executable tests using unit, integration and functional levels, showing an eShop VAT example with six… | ||
| Blockchain and the Possible Impact on Testing: New Technology Needs New Testing? | Jeroen Rosink | 36m |
Defines blockchain fundamentals (immutable distributed ledgers, ~10-minute Bitcoin block times) and contrasts proof-of-work versus proof-of-stake, public vs… | ||
| The Tester's 3 C's: Criticism, Communication and Confidence | Dorothy Graham | 41m |
Testers are professional critics and the session gives concrete tactics: a four‑step DASR: describe Affects Specify Reaffirm script for delivering criticism… | ||
| Next Generation Testing in the Age of Machines | Berk Dulger | 38m |
Predicts manual checking and defect reporting disappear and current automation becomes obsolete, advocating AI Assisted Testing and Machined Learning for… | ||
| Resilience Testing - Failure is an Option | Bartosz Czerwinski | 40m |
Claims a practical method that lets tests flip failures inside a running system without shipping test code into production by using AOP weaving to inject… | ||
| How Could I Miss That Defect? Inattentional Blindness | Andrew Brown | 38m |
Counting white shirts correctly yields 15 passes yet many miss a gorilla because attention filters out things that don’t match the attentional set. Lab work… | ||
| OPENING KEYNOTE: Quality Engineering in DevOps | Geoffrey van der Tas | 42m |
Testing, Quality Assurance and delivering quality. It all radically changed over the last few years. This all because of our new agile way of creating… | ||
| Devising a Project Test Approach | Steve Portch | 36m |
Starts at project initiation, scans impact docs, and produces a one‑page A3 test approach within hours then refines over two weeks; chooses tests by risk not… | ||
| Agile Leadership | Zuzi Sochova | 34m |
Example starts in 2010 with three departments and ~120 people reorganized into self-organizing teams and deliberately no management; experiments, coaching and… | ||
| As The World Turns | Adonis Celestine | 34m |
Claims a working pipeline that ingests JIRA ALM logs and application logs with Talend and Logstash, trains ML models on last 10 sprints using a 70/30… | ||
| nothing matches | ||