In this talk, Titus Fortner, Senior Solutions Architect at Sauce Labs, will discuss the various reasons why people choose to use BDD tools, and what the benefits are supposed to be. He will then discuss the reality for many companies before getting into some of the inherent underlying issues with BDD tooling, including why teams so often end up in trouble when using them. Finally, there will be a discussion of alternatives and recommendations for getting the most out of your UI testing.
Automated testing and test automation far ago have ceased to remain options or choices for the development projects. Now as the DevOps and Agile approach getting huge traction across projects of all types and lengths, automation seems to have the key development methodologies.
The objective is to support teams to develop products that matter. Value-Driven Development encourages teams to adapt and engage with end-users. The key is to develop products that are actually being used. A working product is useless when it is not being used, a quality product is pointless when it is not being used. Value-driven teams are user and usage orientated teams.
Just when we, as testers, got a handle on what Agile means for us, the landscape changed yet again to a DevOps culture. Words like continuous integration (CI), continuous deployment (CD), and pipelines are now ones we’re hearing on a daily basis. As a tester, I’ll admit, I had no clue of what these words meant, and how was I to change the way I tested to fit within this DevOps culture.
Testing involves two types, one will be functional and the other is the non-functional testing. These types of testing are different – continue reading to learn about both of them.
Are you worried about your organization’s ability to cope up with the complexity of delivering at high velocity with excellent quality in multi-speed IT landscape and hybrid environments? Read some thoughts here about some Quality Engineering paradigms in DevOps world that we, Digital Assurance Services- Tech Mahindra, have implemented successfully with our customers.
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.
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.
In this webinar, illustrated with case studies of successful and unsuccessful test teams, Rex will explain how you can transform your test team into a trusted partner.