Plan, Build, Develop, Test, Release—it’s all relative.
New approaches like DevOps or the adoption of a Digital Transformation strategy are meant to make life easier and simpler to creating quality applications faster with better quality and at lower costs, but do they? Maybe. They’ll help put structure in place for team collaboration or deliver an experience your customers won’t forget, but development teams still face the constraints of development through deployment. From development, testing and the management of releases, organizations and their customers have had to deal with ineffective service delivery, compounded by the silos of development, system administration, and operations. CA solutions for DevOps and Continuous Delivery can help you eliminate constraints across the software delivery lifecycle (SDLC), allow developers, testers and performance teams to work in parallel for faster delivery and more reliable outcomes, all the way through deployment and feedback from IT Operations. Get the information you need when you need it in these thought provoking sessions live or on-demand. Be a member of channel to receive updates, best practices and advice from industry thought leaders on how to eliminate constraints across your SDLC.
Testing is a critical but very time-consuming part of the release cycle—in fact, 63% of DevOps adopters still cite current QA processes as a bottleneck. Testing hand-offs, communications, validation and feedback are still very manual. How can you streamline your testing workflow to speed the process and enable better visibility into your testing regimen?
View this session to learn how to eliminate the testing logjam and put ‘continuous’ in your testing strategy. We’ll demonstrate an integrated testing workflow in CA Continuous Delivery Director that triggers test cases, virtualizes services, manages test data, runs performance tests, checks for security vulnerabilities, validates against criteria, deploys to production and delivers feedback.
See how you can stay informed at every stage of the application release cycle and speed the delivery of higher-quality apps.
In today’s agile environments, coding without testing in mind makes you unprepared for the velocity or the volume of changes required to attain continuous testing and delivery. Employing a model-based testing approach gets testing on the fast track and lets you test at the speed of agile.
Unlike traditional testing approaches, model-based testing enables rigorous testing that fits into the same sprint, while allowing stakeholders—from testers and developers to business analysts—to stay in alignment and remain flexible.
View this session and learn how to employ model-based testing techniques in four key areas of testing: requirements engineering, test design automation, agile testing, and test case optimization.
You will also learn how to overcome the key challenges developers and testers face, including:
- Ambiguous requirements
- Limited test coverage
- Test data bottlenecks
- Unavailable system components
- Lack of automation
Shift-left requirements and test case design, along with finding and creating the right test data quickly are key to faster software development. With the right tools and processes, developers and testers can finally make testing a robust advantage within their SDLC.
View session as Bloor Research reviews results of their recent market updates for Test Data Management and Test Design Automation, discussing how test design and test data management are pivotal to achieving your continuous testing initiatives. You'll learn about the key features needed in test design and test data management solutions to accelerate your testing."
Silos. Lack of visibility. Some agile teams… some not. Manual handoffs. Bottlenecks. This summer, it’s time to get outside (your old processes) and take some time off (your application release cycle). Take back your weekends and spend more time by the pool. We’ll show you how to automate, orchestrate, and facilitate continuous everything – and that includes continuous testing – one of the biggest bottlenecks of all.
Join CA DevOps and Sauce Labs to learn the tips and tricks for a better summer… and beyond.
You’ll learn how to:
Automatically shift quality left: Orchestrate and automate testing in every phase of the SDLC with automated promotion and feedback loops
Accelerate testing in the cloud: Test web and mobile apps in parallel – achieve up to 10X improvement in testing time. Use tools of choice while optimizing every aspect of your complex, interdependent multi-application pipelines.
Get started in less than 1 hour….and for free!
Achieve truly automated, continuous delivery (including continuous testing!!!) in the cloud with CA and Sauce Labs
Learn Four Ways Model-based Testing Can Help You Test at the Speed of Agile.
Coding without testing in mind, is a classic mark of traditional testing. It slows you down in a big way, and therefore unfit for the speed, velocity or the volume of changes required to attain Continuous Testing and Delivery.
There’s a better way. Employing a Model-based Testing approach, enabling true Agile Testing.
In this webcast, you’ll learn how to employ Model-based Testing techniques in these four key areas of testing: Requirements Engineering, Test Design Automation, In-sprint Testing, and Test Case Optimization – advancing your knowledge on important testing concepts like requirements flowchart modeling, test case design, test coverage and test automation.
View this session and be on your way to getting Testing on the fast-track – at the speed of Agile.
Learn the “1-2 punch” of continuous testing by simulating needed test environments and running multi-layer testing across 100’s of protocols even before the UI is complete.With organization’s DevOps efforts testing maturity becomes a key differentiator in organization’s ability to deliver innovation to market. The benefit Agile practices gave development teams to speed up their sprints also left QA and testing professionals having to play catch-up due to slow and inadequate testing practices at the time.
This session covers how DevTest solutions from CA allows development and testing teams to virtualize critical components, environments and 3rd party systems that might have cost or access restrictions, and then automate functional, regression, API, Web UI and performance tests across all application layers by invoking and verifying the behavior of each component.
Agile development teams are working in two-week sprints. Accomplishing a two-week sprint means having access to the right test data quickly. This is where synthetic data generation comes to the rescue. With CA Test Data Manager companies can generate the right test data when they need it.
View this session to learn how:
- Test data can be built from scratch to meet your two-week sprints
- Your test teams can save time using an automated data creation solution
Test data without test automation is like a bridge that takes you halfway across a river. Test automation without test data is just as useless. Fortunately, you can bridge the gap with modern solutions that solve your hardest packaged, web, and custom application testing problems.
View this session and see how you can incorporate test automation with exactly the right test data when you need it, the way you need it. Including:
- Generate and deliver the right test data to the right place, on demand
- Create end-to-end, cross-platform business process validation with true, data-driven automation
- Keep test sets current with Evergreen Automation™, allowing you to more fully support agile and -
- DevOps practices across the full SDLC
Organizations cannot achieve the speed or quality promised from continuous delivery unless they modernize their testing tools and practices. Continuous testing—the ability to test early, often, and automatically—is critical to meeting evolving business needs and expectations.
View this session to better understand what continuous testing is, learn how to overcome the biggest bottlenecks to success, and discover some valuable continuous testing techniques.
You will learn:
- How continuous testing fits into continuous delivery initiatives
- How to shift testing activity upstream into the requirements phase, where it is most relevant in the software development lifecycle
- How to assess your current testing environment with a new scorecard to know where to implement continuous testing changes