DATA MINER: Mark Fewster - Equivalence Partitioning & Boundary Value Analysis: Old Hat or Cutting Ed, DATA MINER: TestCon Moscow 2017 HD
00:38:28
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DATA MINER: TestCon Moscow 2017
DATA MINER 23 ролика
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DATA MINER: TestCon Moscow 2017 summary
DATA MINER 00:00:39 -
DATA MINER: Anastasia Aseeva - Rubber cluster for dynamic selenium grid (Opening Keynote)
DATA MINER 00:44:36 -
DATA MINER: Stephen Janaway - Why I Lost My Job As a Test Manager and What I’ve Learnt As a Result
DATA MINER 00:30:54 -
DATA MINER: Mark Fewster - Equivalence Partitioning & Boundary Value Analysis: Old Hat or Cutting Ed
DATA MINER 00:38:28 -
DATA MINER: Baris Sarialioglu - Usability Testing is not Rocket Science!
DATA MINER 00:41:50 -
DATA MINER: Lilia Sapurina - Development of automated test system from scratch
DATA MINER 00:32:35 -
DATA MINER: Lucian Adrian Stroie - Cynefin and Test Planning – an Option for Choosing the Right Test
DATA MINER 00:28:30 -
DATA MINER: Michael Palotas - Selenium Grid
DATA MINER 00:39:39 -
DATA MINER: Aleksandr Meshkov - Risk-based test effort management
DATA MINER 00:32:24 -
DATA MINER: Gary Hallam - Transforming Test Data Delivery for Shift Left Automation (Closing Keynote
DATA MINER 00:37:12 -
DATA MINER: TestCon Moscow 2017 trailer
DATA MINER 00:00:14 -
DATA MINER: TestCon Moscow 2017 trailer 2
DATA MINER 00:00:06 -
DATA MINER: Tamir Dresher - Testing and Time and Concurrency With Rx.NET Schedulers
DATA MINER 00:38:26 -
DATA MINER: Roman Soroka - Testing games
DATA MINER 00:37:11 -
DATA MINER: Dzmitry Humianiuk - ReportPortal.io – how make AI analyze your test automation reports?
DATA MINER 00:41:24 -
DATA MINER: Alexei Vinogradov - KISS PageObjects
DATA MINER 00:37:29 -
DATA MINER: Andrei Contan - Getting started with Rest APIs
DATA MINER 00:31:55 -
DATA MINER: Gualtiero Bazzana - ISTQB(r): the New Product Portfolio and Results from Worldwide Surve
DATA MINER 00:28:56 -
DATA MINER: Aleksander Alekseev & Anastasia Lubennikova - Quality assurance in PostgreSQL
DATA MINER 00:26:34 -
DATA MINER: Vadim Zubovich - Living on crotches or UI Automation antipatterns
DATA MINER 00:31:35 -
DATA MINER: Ilari Henrik Aegerter - No Such Thing as Manual Testing and Other Confusions
DATA MINER 01:47:50 -
DATA MINER: Nicolae Oprean - Code Review for Test Automation
DATA MINER 00:32:51 -
DATA MINER: Adam Carmi - Advanced Test Automation Techniques for Responsive Apps and Sites
DATA MINER 00:37:00
DATA MINER 239 роликов
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Mark Fewster - Equivalence Partitioning & Boundary Value Analysis: Old Hat or Cutting Ed.
TestCon Moscow 2017 Conference, April 27. Are you benefiting from test automation? Are you sure this will continue? Do you worry that your automated testing will falter and fail? After starting well, many test automation efforts do not grow from strength to strength but fail to keep pace with the increasing demands placed upon them. What we learn from the automated tests then becomes less useful, less reliable and misleading. Fortunately, this decline is not inevitable. It is possible to spot the symptoms of trouble early on and take action to correct the issues before they inflict long-term damage. We need to learn to distinguish between automation that is and is not healthy, by understanding the symptoms of test automation disorder and disease, and by learning which trends to monitor.
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