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.
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.