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DevOps and Continuous Delivery

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  • Agile Requirements Designer: Best Practices to Achieve Value | Part 2
    Agile Requirements Designer: Best Practices to Achieve Value | Part 2
    Ralph Jezierski and Steven Borriello Recorded: May 9 2019 58 mins
    At its core, Model-based Testing (MBT) is the automatic generation of tests based on models to represent some or all aspects of a System Under Test (SUT). When properly utilized, MBT enables testing organizations to scale for maximum functional test coverage and achieve cost efficiencies by generating an optimal set of test cases. Helping development teams unlock the full value and capabilities of MBT is Agile Requirements Designer (ARD), an industry proven in-sprint tool to build quality applications faster.

    This is a two part webinar series that will benefit new or existing ARD users who want to learn more and unlock the true value of the solution.

    Join MBT and ARD experts Ralph Jezierski and Steven Borriello as they dive into the foundational skills and best practices required to automate the generation of the optimal set of test cases. Achieve value faster through practical in-webinar exercises and real world examples that would be shared in this two part webinar series.

    In this second part of this webinar series on May 9th at 11am ET | 8am PT, continue the discussion as we explore Test Generation and Optimization Best Practices, where you'll learn:
    How to generate test cases from the ARD Model based upon the required testing coverage or specific focus area.
    How to utilize ARD to adapt testing artifacts based on application changes
    How to export test cases to requirements and test case management tools.
    The presentation will be followed by a Q&A session
    Note: If you had missed the first part of this webinar series on May 2nd at 11am ET | 8am PT, join us as we discuss Modeling and Scalability Best Practices
  • Agile Requirements Designer: Best Practices to Achieve Value (Part 1)
    Agile Requirements Designer: Best Practices to Achieve Value (Part 1)
    Ralph Jezierski and Steven Borriello Recorded: May 2 2019 60 mins
    At its core, Model-based Testing (MBT) is the automatic generation of tests based on models to represent some or all aspects of a System Under Test (SUT). When properly utilized, MBT enables testing organizations to scale for maximum functional test coverage and achieve cost efficiencies by generating an optimal set of test cases. Helping development teams unlock the full value and capabilities of MBT is Agile Requirements Designer (ARD), an industry proven in-sprint tool to build quality applications faster.

    This is a two part webinar series that will benefit new or existing ARD users who want to learn more and unlock the true value of the solution.

    Join MBT and ARD experts Ralph Jezierski and Steven Borriello as they dive into the foundational skills and best practices required to automate the generation of the optimal set of test cases. Achieve value faster through practical in-webinar exercises and real world examples that would be shared in this two part webinar series.

    In the first part of this webinar series on May 2nd at 11am ET | 8am PT, come join us as we discuss Modeling and Scalability Best Practices, where you'll learn:
    How to construct ARD models utilizing ARD UI basics, modeling concepts and best practices
    How to leverage ARD sub-models to abstract common features into independent reusable models.
    The presentation will be followed by a Q&A session
    Note: If you enjoy this webinar topic, you may wish to continue the discussion as we explore Test Generation and Optimization Best Practices. Join us for the second part of this webinar series on May 9th at 11am ET | 8am PT!
  • What's New in Test Data Manager (TDM) 4.8?
    What's New in Test Data Manager (TDM) 4.8?
    Jeff Hughes and Keith Puzey Recorded: Apr 29 2019 55 mins
    CA Test Data Manager has just released version 4.8 with exciting new features including Portal Masking which includes an independent masking engine and Docker-Based masking. These new features, along with others, will help your testing teams speed up the process of finding and delivering test data when it's needed. Join Jeff Hughes and Keith Puzey for a complete discussion and demonstration of the latest features in TDM 4.8
  • Model-based API Testing
    Model-based API Testing
    Ben Johnson Ward Recorded: Apr 25 2019 64 mins
    Traditional API Testing offers well-known benefits like speed, robustness, and ease of automation as compared to testing via the UI. While testing an API as exhaustively as possible is often the most effective way to know if each component is behaving the way it should, this is still dependent on the extent of test coverage provided.

    Shackled by slow incomplete manual test designs, API Testing is missing key metrics to help optimize test plans. Testers have difficulty prioritizing what needs to be tested, while developers are unable to shorten test runs and fail fast for more immediate feedback. So how do we compliment API Testing with the power of Model-based Testing (MBT) for maximum testing coverage and efficiency by optimizing our test design?

    Join MBT expert Ben Johnson Ward as he dives into a fully integrated end-to-end API testing framework/pipeline to rapidly test a live webservice. Using a powerful MBT test generation solution, he will show how to generate executable REST-assured API tests with enriched reporting, as well as manage requirements changes in the application and their impact on testing.

    You'll learn:
    - Automate test design/creation with Model-based Testing tool Agile Requirements Designer (ARD)
    - Creating REST-assured API tests utilizing ARD and executing with Java
    - How to quickly generate tests for any scenario or coverage goal
    - How to react efficiently to changing requirements to keep our automated testing in-sprint
    - How to generate enriched test result reports

    The presentation will be followed by a Q&A session
  • Model-based Testing & BDD
    Model-based Testing & BDD
    Alexander Page Recorded: Apr 18 2019 52 mins
    The Behavior-driven Development (BDD) paradigm has changed the software testing landscape by combining business language (requirements) with functional application test cases; it gives us the ability to create low-jargon, self-documenting tests that all stakeholders understand and agree on to truly enable Acceptance Test-driven Development (ATDD). How do we combine these benefits with the power of Model-based Testing (MBT) to achieve maximum testing coverage and efficiency?

    Join BDD/MBT expert Alexander Page as he dives into a fully integrated End-to-End BDD testing framework/pipeline for rapidly testing a live MVC Webapp by utilizing a powerful MBT test generation solution to go from requirements to executable Gherkin/Cucumber BDD tests to enriched ATDD-focused reporting with Serenity.

    You'll learn:
    Automate test design/creation with Model-based Testing tool Agile Requirements Designer (ARD)
    Creating Gherkin BDD tests utilizing ARD and executing with Cucumber
    How to quickly generate a Gherkin step definition layer in Eclipse
    Tying in the Selenium UI testing framework with the Gherkin step definition layer
    How to use Serenity BDD framework to generate enriched ATDD test result reports

    The presentation will be followed by a Q&A session
  • Eliminate test environment dependencies in your CI/CD pipeline
    Eliminate test environment dependencies in your CI/CD pipeline
    Koustubh Warty and Petr Vlasek Recorded: Apr 16 2019 61 mins
    Enormous savings and quality benefits are possible from shifting testing left to development, but dependencies can make that goal difficult to achieve. Often, services you need to test against are either still in development, cost money to hit (3rd party services) or are simply not available. Sure, you can write a simple mock, but the inherent limitations in types of services you can cover and responses that can be returned often leads to inadequate tests and potential escaped defects.

    Now, you can create ephemeral test environments, complete with robust virtual services. Shift unit testing left by eliminating dependencies on unavailable services, services still in development, or unavailable services right from your IDE. In this webinar we’ll discuss:

    - Best practices for creating robust virtual services for developer use cases
    - How to easily share those services throughout the organization
    - Where to get started today, for free
  • Site Reliability and Chaos Engineering: Tools to Continuous Delivery Quality
    Site Reliability and Chaos Engineering: Tools to Continuous Delivery Quality
    Shamim Ahmed Recorded: Mar 25 2019 60 mins
    Site Reliability Engineering (or SRE) has been gaining popularity recently to help improve reliability of systems as well as a prescriptive approach to implementing DevOps. Testers similarly play a key role in helping to balance the needs of velocity with overall system quality.

    SREs develop, maintain and operate software that automates the traditional roles of the system administrator at large scale, such as configuration and cluster management systems, and that support reliability and scalability goals, such as container virtualization and the systems architecture of microservices

    In this webinar we’ll explore:
    * The synergies and differences between SREs and testers
    * How testers can work with SREs and development teams to balance the needs of velocity and quality
    * Tools to help integrate SRE into Continuous Testing and Continuous Delivery
  • Use In-Sprint Test Data to Help Relieve Your DevOps Bottleneck
    Use In-Sprint Test Data to Help Relieve Your DevOps Bottleneck
    Jeff Hughes, Continuous Testing – CA Technologies Recorded: Oct 30 2018 47 mins
    What's keeping you from testing continuously within your sprints? Learn how to find, reserve and use the right test data to help you test at the speed of agile and allow your teams to lead rather than follow each sprint.

    During this webinar you will:
    • Learn the biggest reason you struggle to find test data
    • Learn 3 ways you can deliver test data more quickly to your testing teams
    • Learn how CA TDM can help reduce the time and expense to deliver fresh test data
  • Deliver Better Software Faster with Continuous Testing
    Deliver Better Software Faster with Continuous Testing
    Steve Feloney, VP Product Management CA Technologies Recorded: Oct 30 2018 49 mins
    To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.

    In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
  • Use In-Sprint Test Automation to Continuously Test at the Speed of Agile
    Use In-Sprint Test Automation to Continuously Test at the Speed of Agile
    Alex Martins, CA Technologies Recorded: Oct 24 2018 62 mins
    What's keeping you from testing continuously within sprints?

    As your organization adopts test-driven, agile development methods, you’ll want to automate testing even more so you’re not lagging behind the development sprint.

    Join this web seminar to learn how to use in-sprint test automation related practices around requirements engineering, test design automation and test case optimization to help you test at the speed of agile – thus, allowing you to:

    - Shift testing all the way to the left—to your business requirements design phase
    - Automatically generate test automation scripts for both open source and commercial frameworks
    - Achieve maximum coverage with the smallest set of test cases, directly from clearly modeled requirements

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