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.

Agile Development and Continuous Delivery are rapidly becoming the de facto standard for software development. The key business driver behind these initiatives: delivering new functionality to your customers faster. This is easy to state in theory but much harder to achieve in practice: the level of quality of your services must be maintained! If your system goes down once a week every week, your customers are unlikely to be happy.

Are you tired of spending endless hours maintaining your automated test cases? Do you dread looking at test automation reports because of the tedious tweaks you know you’ll need to make from the latest updates from dev? Has your team lost its faith in test automation?

The ultimate goal of a DevOps approach is to deliver high-quality features to your customers at the pace they need. High performing DevOps shops point to continuous testing and test automation as key contributors to their success.

Accelerated delivery is now mandatory, especially for digital transformation. That is the reason continuous delivery, low-code, no-code development is getting utilized everywhere. Application teams need to release the new features faster or update the features faster.

Agile Development and Continuous Delivery are rapidly becoming the de facto standard for software development. The key business driver behind these initiatives: delivering new functionality to your customers faster. This is easy to state in theory but much harder to achieve in practice: the level of quality of your services must be maintained! If your system goes down once a week every week, your customers are unlikely to be happy.

Accelerated delivery is now mandatory, especially for digital transformation. That is the reason continuous delivery, low-code, no-code development is getting utilized everywhere. Application teams need to release the new features faster or update the features faster.

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.

The world of testing is always evolving – software development life-cycles, delivery models and team culture. We see this evolution affecting the way teams are constructed, what skill-sets are required, and the ownership of quality within the organization.

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.

Join our STP Community Webinar host, Smita Mishra, as she leads this panel discussion with Theresa Neate and Hilary Weaver-Robb. These seasoned Testing Professionals will discuss their experiences with testing, development, and a leadership perspective in a DevOps world. They will also discuss how testing has evolved, and the types of testing they are focusing on now.

The world of testing is always evolving – software development life-cycles, delivery models and team culture. We see this evolution affecting the way teams are constructed, what skill-sets are required, and the ownership of quality within the organization.

Accelerated delivery is now mandatory, especially for digital transformation. That is the reason continuous delivery, low-code, no-code development is getting utilized everywhere. Application teams need to release the new features faster or update the features faster.

In this Webinar, we will show you the fundamentals to calculating how effective your team is at finding bugs in your software. Using ServiceNow and Micro Focus ALM to demonstrate, we’ll show you how to automate the flow of information between your ALM and ITSM tools to monitor DDP in real time.

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.

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.

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.

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.

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.