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.

Today’s complex technology landscape makes it progressively more difficult to deliver products with frictionless experiences that meet the evolving interoperability demands of your customers. Engineering teams are under enormous pressure to discover defects, user experience issues, critical feature gaps, and in-the-wild interoperability problems before releasing a product.

Security has become a necessity in our day-to-day activities. Are we aware of how we can uncover these vulnerabilities? Do we understand the basic security tests that we run? Can we analyze and understand whether the threat found is a false positive or not? How can we make Static Application Security Testing and Dynamic Application Security Testing (DAST) work hand in hand for our benefit? How can we have DAST Automated with our dear Selenium? How can we apply DAST on Mobile Apps? How can we have DAST part of CI/CD pipeline?

The Predictive analysis carries to extract valuable information from the data sets with the help of the statistical algorithms and machine learning to forecast the trends and performance patterns. When it comes to software testing, predictive analytics makes everything clear about what to test and predict the quality issues before and after the production.

In the bustling Ad Tech industry, we are constantly presented with challenges. These range from segmenting browsers, targeting devices, users (consumers) and even environments. Ad presentation specifications are constantly changing, as new devices are always coming onto the market. Machine Learning model techniques are adopted to engage and know consumer preferences through ‘sentiment’ surveys or other polls. After performing automation on the newest (and oldest) mobile devices, a new connected TV device appears with unique challenges.

When testing software, it is not uncommon to hear that one hundred percent coverage is unachievable. What happens, then when we are asked to do such a thing. If the software that is being tested is used in critical infrastructure (power systems, water, medical, banking, etc.) then an escaped bug is not a trivial thing.

In this webinar, Lisa Crispin will explore these two sets of principles, how they relate to each other, how teams can benefit from them, and how they might shape the future of testing and quality.

Shopping for new tools is not unlike dating. You need to ask yourself the same questions: “What am I looking for?” “Do they fit in with the picture I have for my future?” “Will it get along with my friends colleagues?” On top of that, the testing tool landscape has changed so much in just the past few years. What expectations should you have? Where do you even go to “meet” these tools?

Since managing performance and assuring it is acceptable is not a trivial task neither just a matter of running load, the webinar will go through all of the possible routes an organization should become familiar to achieve great performance.

We learn from Cathy’s customer feedback and experiences around automation strategy, artificial intelligence, and some possible new capabilities coming to the Applause solutions.

Have you ever wondered if you want/need/able to test in production? Is it even possible without bringing harm to your users? Does it bring any value?

No need for antacids or a doctor, just come to this session to find out all the juices and spices necessary to make that delicious secret sauce of automated tests that allows CenterEdge Software to continuously deploy most of its web software, both micro-services and monoliths.

Acceptance Test Driven Development has become an industry buzz word, and that buzz has reached your automation doorstep. With all of the promises of conversational language test cases, increased communication, and productivity, this paradigm almost seems too good to be true.

In this webinar, we will focus on understanding How can we start trusting our automated tests again? Let’s explore what you can do to repair the situation-or, even better, prevent it from happening in the first place.

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.

In this webinar, Jennifer Bonine will discuss the impact and scope of AI in testing. She will address some of the most burning questions out there on the subject around its impact to testers and give practical advice for when and how to add AI to your testing practices.

Executives are always looking to cut costs and increase value. Test Automation is key in continuous delivery of digital assets for customers. But does Test Automation produce an ROI? If so, what is it? How can your department positively affect the bottom-line with test automation?

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.

Come join this session, where I cover the basics of AI, existing problems with testing, discuss the key ways software testing can benefit from AI and the challenges involved in implementing AI-based solutions. Attending this session will help anyone to get started with AI-based testing.

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.

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.

Building automated testing is always a delicate balancing act, with the best course of action heavily reliant on the type of testing, scale of the business and a host of other factors to boot. However, the choice between OSS and proprietary tools to safely build automated testing is a whole question in itself – we take a look at the key pros and cons to help you make the right choice…

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 session,​ Jennifer Bonine and Rick Faulise will explore new shifts in testing paradigms. Demonstrate an AI-first​ testing method that integrates with your current manual and automation testing, and understand AI that aids your app teams. Re-think where you want to spend time and money in your testing team in a challenge that plagues most companies of too much to test and too little time.

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.

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.

In this talk, Liz introduces the Cynefin framework to help make sense of different types of situations and how to approach them: the obvious ones, the complicated ones which require expertise, the complex ones in which outcomes emerge, and the chaotic ones that we’re usually trying to avoid. Find out how these simple concepts can help us counter our innate human desire for predictability, enabling change and innovation; not just in software development, but in every aspect of our lives.