Take some time out of the hustle and bustle of the holiday season by working on some professional development. We are counting down to new years with our top 12 list of the best test automation webinars of the year! From Machine Learning/AI, Exploratory Testing and Load/Performance Testing to BI/DWH and Continuous Testing, we’ve covered it all. So, break out the cozy sweaters and snuggle up with some eggnog – it’s going to be a wild test automation ride!
91% of software testers believe that testing must be transformed to remain relevant in today’s increasingly accelerated software development processes. The question is not if testing will change, but how. Watch this on-demand webinar to learn more about:
- What role will manual testing and UI test automation play in the future?
- How can teams achieve the required level of testing—without slowing down the acceleration initiative?
- Will all testers need to become developers now (and/or vice versa)? And if they fail to convert, will they be out of a job?
- What do all these changes mean for testing service providers?
Why do 80% of Behavior Driven Development (BDD) projects fail?
BDD, with its business-focused perspective on application behavior, is great in theory. It allows teams to create living documentation that is easy to maintain and can be consumed by all team members, including testers, developers, and product owners. Moreover, tools like Cucumber can leverage BDD scenarios for automated acceptance testing. However, the issues lie in scaling at an enterprise level—to the point that 80% of BDD projects fail.
Watch this webinar on-demand to learn more about why BDD is so easy to adopt – but tricky to scale. We will cover:
- Why BDD is great for Agile development
- Where purely open source BDD approaches fall short
- New strategies for scaling BDD for the enterprise
The initiatives at the top of IT executives’ 2017 priority lists—scaling Agile, evolving DevOps, and moving towards Continuous Delivery—all have a tremendous impact to software testing. What does this mean for the manual testers and automation engineers of the world?
Watch our on-demand webinar, Test Automation for Manual Testers: Transitioning to Continuous Testing, to take a look at why Continuous Testing is essential for Agile and DevOps, explore what changes will be required, then show you how you can start transitioning—without coding—with a practical how-to on Continuous Testing with Tricentis Tosca.
The adoption of agile and iterative development processes is forcing testing teams to complete testing within significantly shorter time cycles. Teams that previously had weeks or months to test must now accelerate testing to deliver even more comprehensive test results in a matter of hours or days. Many enterprise testing teams are adopting exploratory testing in response to these challenges. Watch this on-demand, where Tricentis Product Manager Ingo Philipp to explore how to plan, monitor, execute and measure exploratory testing in Atlassian Jira. You will learn:
- How to free your testers from laborious manual documentation during exploratory testing—so they can spend more time on actual testing
- How to plan sessions thoroughly, monitor the session status, and share the results with others
- How to playback the tester’s test actions to rapidly reproduce issues found and verify bug fixes
In today’s blink-and-you-miss-it-world, organizations need innovative solutions to satisfy fast changing customer requirements. Obstacles such as manual testing, lack of standardized test processes and frequent environment downtime only amplify the existing pressures of rolling out products and services at the accelerated pace the business now demands. Watch this on-demand to learn how Vantiv, a leading payment processing and technology provider, transformed their testing to meet business expectations—with a new approach to functional test automation. In this on-demand webinar, you will get first-hand insights on how Vantiv was able to:
- Ensure faster, reliable, and predictable testing to support Agile transformation
- Centralize regression testing and test data management across a collaborative enterprise-wide QA team
- Reduce time-to-market and testing costs while ensuring superior customer experiences
- Achieve 90% increase in business risk coverage and a 90% reduction in regression test execution time
“Digital transformation” will inevitably force all lines of business to re-evaluate their current processes and the technologies that enable them. It’s becoming increasingly clear that the legacy software testing platforms of the past are unable to keep up with today’s business demands, so we find ourselves at a critical juncture in the journey towards re-inventing software testing. Part of this journey will be to understand and optimize how New IT—artificial intelligence, predictive analytics, intelligent automation, liquid delivery, design thinking, DevOps and agile, to name few—can transform the role of “testing” to “quality engineering.”
Watch this on-demand where we explore how you can embrace the latest testing innovations to increase your business agility and gain a competitive advantage. You’ll learn about:
- Why software testing must evolve to meet changing business and customer expectations for digital transformation and New IT
- Strategies for extending testing beyond the boundaries of traditional manual processes
- How specific Accenture and Tricentis innovations can make testing more intelligent, continuous, automated and future-ready
Why are test automation rates today still hovering around a dismal 20%? Maybe it’s because testers are constantly burdened by challenges that impact their ability to create, execute, and maintain tests. Unstable/incomplete test environments, constantly-evolving applications, struggles getting the appropriate test data, brittle tests, and an overwhelming number of false positives are all to blame for “why testers can’t test.”
Watch this on-demand to learn how testers can execute automated tests consistently, accurately, and reliably—without relying on others to provision test environments and test data. We’ll provide step-by-step guidance on how you can (re)gain control and test on your own terms. Along the way, we’ll cover:
- Applying service virtualization and test data generation/management for stateful tests
- Making your test suite as efficient as possible to reduce maintenance and execution times
- Breaking through the trap of brittle scripts and false positives
See how your applications scale with massive load generated from around the world.
Flood IO lets you scale load tests on demand for maximum concurrency and throughput—without resource-intensive performance labs. You can get started in minutes, whether you want to execute large concurrency and volume with JMeter and Gatling, simulate realistic browser behavior with Selenium or Tricentis Tosca (integration coming soon), or load test a single URL.
Flood founder Tim Koopmans to learn how Flood’s breakthrough technology helps teams expose performance risks early and continuously. We’ll demonstrate how easy it is to get up and running with some high volume concurrent load against real endpoints. This is game day: watch things crash and burn as we stress test a mystery site.
You’ll learn how to:
- Avoid common pitfalls for load testing with cloud-based infrastructures
- Extinguish “helmet fires” when running massive load
- Apply quantitative approaches to performance monitoring and baseline performance
- Take what you learned here and apply it to your own applications…today
Now that businesses rely on BI to drive strategy and optimizations, data integrity problems rapidly ripple throughout the company. Reliance on inaccurate data quality not only leads to less effective decision making; it also opens the door to regulatory risks. Data integrity could be compromised from the moment it’s created, as its integrated and moved, or as its transformed. However, data quality testing is usually deferred until the end of the process—as business users manually inspect reports. In the best case scenario, the problem is detected, but lengthy late-process debugging may be required to identify and resolve its source. In the worst case scenario, the problem goes unnoticed. In that case, the compromised data is appropriated into business operations, and any underlying process problems may continue to impact data quality.
If preventing such “big data problems” is critical for your business, watch this on-demand as Tricentis and Reeeliance uncover the latest BI testing strategies. We’ll explore best practices and technologies for systematically eliminating data integrity issues at each stage of the process—across ETL layers, the core data warehouse, and BI layers. You will learn:
- About the various ways that data integrity can be compromised
- How investing a little time on test automation now will yield tremendous time savings over the long term
- How business analysts can define and interpret automated data tests on their own—without relying on technical specialists
- Why and how to incorporate BI/data warehouse testing into your end-to-end business process testing
“IT organizations struggle to move from the tactical task of testing software as part of a distinct phase or activity — and often done manually — to a more automated form of QA that essentially requires no human intervention. Ultimately, tests must demonstrate that applications not only work, but satisfy real business requirements.” – Gartner’s Magic Quadrant for Software Test Automation, November 2016
As per Gartner, it is clear that enterprises must move towards human-free automation in QA. With Autonomous SAP Testing, enterprises are able to automatically generate and maintain SAP business process tests – without requiring manual intervention at any point in the process. Watch this on-demand as Panaya Director of Product Management for Testing Solutions Serge Lazimi and Tricentis Director of Presales James Senecal, explain intelligent test case generation with Autonomous SAP Testing—and how this groundbreaking new technology can dramatically accelerate your business process testing.
- Zero-touch, scriptless testing
- Eliminating the need for manually-engineered test cases
- Increasing test effectiveness through AI
It’s all too easy for HP UFT test suites to become painfully bloated with difficult to maintain, slow to execute test cases. There’s no way these oversized, bulky regression test suites can keep up with your lean software development processes.
Learn how to shed the excess HP testing weight and transform into a lean testing master. Tricentis’ Thomas Stocker will guide you through an in-depth examination of regression test suite bloat—what causes it, and how to trim down those redundant, out-of-sync, and deprecated tests that are causing you pain.
- The top symptoms of test suite bloat
- The impact to Agile, DevOps, and other lean processes
- How bad is it? Assessing the severity of your test suite bloat
- How to shed the weight using lightweight tooling
Although Artificial Intelligence (AI) is nothing new, applying AI techniques to software testing started to become feasible just this past year. Undeniably, AI will soon become part of our day-to-day quality engineering process. Before we get caught up in the exuberance of the technology, let’s take a step back and assess how AI can help us achieve our quality objectives. It’s been suggested that AI could be applied to actions such as prioritizing testing and automation, generating and optimizing test cases, enhancing UI testing, reducing tedious analysis tasks, and helping to determine pass/fail outcomes for complex and subjective tests. However, should AI be applied in these cases? And where else could it assist?
Watch this on-demand and learn about Tricentis founder Wolfgang Platz’s insights on where AI can deliver the greatest impact to software testing. We’ll cover:
- How to determine if AI can enhance a task or process
- What software testing processes and tasks are the top candidates for AI
- How AI will impact software testing in the next 2 years
Although this countdown has come to an end, we wanted to sneak in one last webinar that might warm you up during those frosty winter-y nights:
Software is never perfect—but how can you stop the most business-critical issues from evading your testing efforts?
Risk-based API testing is the pinnacle of “lean” testing. You not only achieve higher risk-coverage with fewer tests. You also focus on tests that are extremely fast to execute—and you “shift left” testing so that defects are found when they are fastest, easiest, and cheapest to fix.
Watch our on-demand webinar to learn how risk-based API testing helps you accelerate testing while actually increasing your risk coverage.
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