#APPIUM APP IMAGE MEANS UPDATE#

Synchronization of the script due frequent UI element update via async API calls.

The validation of the style attributes (for example the change in colour of an element based on event).

Problem Statement: While testing a native IOT application, we could figure it out the following issues using blackbox automation approach.

#APPIUM APP IMAGE MEANS DRIVERS#

In this session we will be covering some of the interesting aspects of both the drivers (UIAutomartor2 and Espresso) and explore in detail the pros and cons of both via a demonstration. Luckily we have a bridge now which can help us to use both black box and graybox testing in the same time, yes we are taking about Espresso driver. In android platform, UI automator driver has matured level but we cannot still test areas which needs access to the application code. We face many real time issues while testing our apps right from flaky tests to areas which cannot be tested with blackbox testing approach. The journey of providing support for blackbox testing to graybox is just phenomenal. These new technologies didnвЂ™t always pan out, but the experience of implementing them always revealed something interesting about how we think about software and quality.ДЄppium has came long way with the evaluation of different drivers. Together we will identify 4 problems, and how load testing, visual regression testing, security testing, and accessibility testing were able to be implemented in hopes of solving them.

#APPIUM APP IMAGE MEANS HOW TO#

In this talk you will learn how to identify business problems, and convince stakeholders in your company that itвЂ™s worth taking the risk implementing new testing technologies to solve them. How do you stay on top of all that, and continue to grow as a quality engineer for your organization and your own development? HereвЂ™s the trick - you need to convince your organization to give you the freedom to implement new tools and techniques, which allows you to grow as an engineer, and benefits the organization, if the new technology pans out. Not only do you test constantly changing software, the list of tools and frameworks out in the world is ever-growing. This helps alleviate the major pain point of flaky & unreliable test scripts, so that testers may focus more time on the important things, like the never-ending checklist of testing, and less time on maintaining & tweaking unreliable scripts, all while keeping the traditional, programmatic approach to automation.ДЄs a quality engineer, you have to constantly be learning. AI assistance can put forth even further value to mobile application automation by also offering a solution to assist script-based automation in finding and generating correct technical identifiers. However, we are fortunate to bridge the years of mobile application automation from its current infancy to further maturity via AI & machine learning assistance thus, creating codeless (scriptless automation).

However, mobile application automation is complicated given the lack of open source tools, device fragmentation, complicated native application development, and loss of time-to-develop compared to web-based automation. Mobile application automation is a formidable approach to decreasing testing time and cost while increasing confidence in testing coverage.

Appium app image means