TestCon Vilnius 2016
who it's for
test automation engineers, software testers, qa managers, performance engineers, mobile testers, test architects, test environment engineers
topics
user acceptance testing boundaries; testing culture change; test automation techniques; mental training for testers; Selenium automation strategies; mobile testing with Appium; big data testing governance; test-driven development for testers; test metrics and reporting; performance testing with big data; automated fuzz testing closed source; test environment deploy and destroy
| title | author | length |
|---|---|---|
| official aftermovie | 02m | |
Aftermovie of the conference shows stage clips, crowd shots and music and states concrete outcomes: attendance reaches 600 people, sessions surface a practical… | ||
| What is UAT and, more importantly, what it isn’t | Steve Portch | 48m |
UAT claims to answer whether the system is fit for business purpose not whether it meets every requirement so the talk shows concrete practice: run three-cycle… | ||
| Improving Testing Quality by Changing Culture | John Clapham | 42m |
Claim: reduce escaped defects by changing culture rather than hunting bugs. Evidence: Deming/Toyota-style quality built in, Google’s Project Aristotle finds… | ||
| Test Automation: Do the Same but Better | Igor Khrol | 41m |
A tiny Rails app that calculates an average rate and tests written in Ruby move from Selenium Firefox UI tests to direct DB inserts then to an internal JSON… | ||
| Test Flow: Improve Yourself with Mental Training | Ard Kramer | 42m |
Four mental capabilities—arouse, focus, heart (motivation) and anchor (confidence)—get shifted by four tools: goal setting, visualization, self-talk and stress… | ||
| Freeing up Selenium | Jon Hare-Winton | 38m |
Claims that Selenium/WebDriver should stop duplicating manual regression and instead power monitoring, CI and delivery pipelines. Demonstrates concrete… | ||
| Myths & Challenges of Agile Testing | Baris Sarialioglu | 39m |
Claims include 90% of all data created in the last two years and over 80% of companies moving to agile, with Standish-style figures that a third of projects… | ||
| Can You Trust Your Tests? | Vaidas Pilkauskas | 31m |
Claim: mutation testing shows what tests actually assert by injecting small changes and expecting tests to kill the mutant; if tests still pass the mutant… | ||
| No Such Thing as Manual Testing and Other Confusions | Ilari Henrik Aegerter | 41m |
Argues that testing is checks plus experimentation, not a separate “manual” job, and shows a tiny calculator build where the implementation yields 2+2… | ||
| Code Review Techniques for Test Automation | Nicolae Oprean | 41m |
Describes moving 1,000+ manual cases from Spira (Inflectra) into Selenium/TestComplete automation, then confronting fragile, inconsistent test code and long… | ||
| Appium: An Open Source Software Success Story | Dan Cuellar | 39m |
Appium started in 2011 and actually implements the WebDriver / JSON Wire Protocol, maps that protocol to real device automation (iOS via UIAutomation /… | ||
| Big Data: From Testing to Governance | Aleksandr Kublickij | 28m |
Implemented a company-wide data governance program that pairs robots + webdriver sampling with automated scans and a 90-minute freshness SLA, defines a single… | ||
| TDD: Cultivating a Beginner’s Mind | Shai Yallin | 48m |
Claim: software design is emergent design, not Big Design Up Front. Evidence: Wix public server serves 19 million sites and changes every eight minutes, it… | ||
| Test Metrics – a thread or a threat | Isabelle Robrechts | 39m |
Slides compare metrics across waterfall and agile, using defect trend chart, defect detection percentage (DDP), defect severity index, and SLA bug-fix times… | ||
| Learning testing through gaming | Nicholas Hjelmberg | 34m |
Three tabletop and digital games used at SQS teach concrete testing skills: Find the Bug! frames a risk‑based board search so players locate real defects, Find… | ||
| Performance Testing and Big Data | Roland van Leusden | 40m |
Shows concrete numbers and tools: a 1.6 TB/s fiber example, wind‑turbine sensors that spot one failing unit among 100, and benchmarks that compare a target of… | ||
| Automated fuzz testing of closed source applications based on the code coverage | Jaanus Kääp | 36m |
Automated mutation fuzzing uses corpus distillation to reduce hundreds of thousands of PDF samples to a few hundred that produce the same code coverage then… | ||
| Deploy and Destroy Complete Test Environments | Bas Dijkstra | 40m |
Claims that service virtualization plus containers and cloud let teams provision full test environments on demand, with concrete tools and limits: use Hoverfly… | ||
| The test report is dead, long live information! | Gerlof Hoekstra | 34m |
Argues that the test report dies and gets replaced by continuous, concise test information: minute logs, a daily blog and minute logs, and brief visual… | ||
| The Real Cloud Testing Story | Ewald Roodenrijs | 33m |
Claims that only 15 percent of test environments run in the cloud and that spinning up a DB2 test instance takes DB2 up in minutes not days; shows performance… | ||
| The Pillars of Agile Testing | David Evans | 52m |
A maturity model framed as a Greek temple claims that confidence sits atop four pillars — stronger evidence, better test design, greater coverage and faster… | ||
| nothing matches | ||