With the inception of smartphones, the mobile app market has seen explosive growth. Hence enterprises are focusing more on the quality of apps so that they can provide the best user experience to their customers. Consequently, we can see exponential rise and rapid technological evolution in the field of Mobile App Testing. Achieving quality with speed is the key concern in Mobile App Testing and this can be achieved through automation testing and improving its quality. There are several tools available in the market for automation testing and one of the best automation tools is Appium. Now let us explore the features of Appium.
At the turn of the 19th century, the industrial revolution replaced many manual jobs and that resulted in a better quality of life. At the same time, it also led to the loss of a large number of jobs in the short term. Since then there has been a recurrent fear that technological change will spawn mass unemployment. However, the Artificial Intelligence and Machine Learning revolution, that the world has come to terms with, will be significantly different from the Industrial Revolution.
In this presentation, Orlando will explore the following questions, outline the pros and cons of each buying and building, and provide key strategy and valuable tips to help enterprise mobility teams make the right decision when incorporating a mobile device cloud into their mobile app development and testing processes.
In this talk, we will confront misconceptions about what accessibility is and isn’t while taking an interactive look at how to test for usable, accessible and inclusive applications.
As automation knocks on the door once again, for many there is a continued fear, when will I be automated away? While manual testing will continue for the foreseeable future, it never hurts to get introduced to the concepts of what might come next as a manual tester! The world of software development and software testing continues to change, and as it does, testing and development come to meet in the contested territory of DevOps.
Since AI driven test generation was first introduced in 2017, much has been learned. Millions of test steps were generated and executed, finding thousands of bugs. We will dig into how the technology works, where it works and doesn’t.
Here is your opportunity to ask any questions to Michael Bolton. Michael is a consulting software tester and testing teacher who helps people solve testing problems that they didn’t realize they could solve.
You can start painting without learning how to draw, but a good artist can tell — just by looking at a painting— if a work of art was done by someone who was an experienced artist, or a novice. Similarly, you can start automation without much training, but an engineer, well versed in automation, can quickly tell whether someone is practiced or not.
The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.