Report for WD 227 (Gender & Sexuality)
For the class of Prof. R. Ofreneo (1st Sem AY 2016-2017)
University of the Philippines Diliman
College of Social Work and Community Development
Report for WD 227 (Gender & Sexuality)
For the class of Prof. R. Ofreneo (1st Sem AY 2016-2017)
University of the Philippines Diliman
College of Social Work and Community Development
How many times have your Selenium test suites run beautifully on one browser, only to fail when run in any other browser? This is an extremely common problem faced when incorporating cross-browser tests into your test runs. Not all browser drivers are created equally, but that doesn’t mean you can’t create a robust suite of cross-browser tests.
This presentation shares strategies for making cross-browser tests invincible. It focuses on topics such as using as choosing the best locators for all browsers, explicit vs. implicit waits and how to leverage cloud-based testing tools.
This presentation was given at SeleniumConf London in November 2016.
When it comes to fixing potential disasters before they happen, predictive maintenance is utilizing big data and analytics to keep pipes from bursting, mechanical parts from failing, and potholes from forming. Why? Because regret is expensive, and proactive inspections save everyone time, money, and more importantly, piece of mind down the always-even road.
How many times have your Selenium test suites run beautifully on one browser, only to fail when run in any other browser? This is an extremely common problem faced when incorporating cross-browser tests into your test runs. Not all browser drivers are created equally, but that doesn’t mean you can’t create a robust suite of cross-browser tests.
This presentation shares strategies for making cross-browser tests invincible. It focuses on topics such as using as choosing the best locators for all browsers, explicit vs. implicit waits and how to leverage cloud-based testing tools.
This presentation was given at SeleniumConf London in November 2016.
When it comes to fixing potential disasters before they happen, predictive maintenance is utilizing big data and analytics to keep pipes from bursting, mechanical parts from failing, and potholes from forming. Why? Because regret is expensive, and proactive inspections save everyone time, money, and more importantly, piece of mind down the always-even road.