Critical Capabilities for Software Test Automation

Published: 18 December 2018 ID: G00352965

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Application leaders who are developing strategies for digital business must address a wide range of testing practices covering increasingly complex technology stacks. This research evaluates 13 popular functional software test automation offerings across four common testing use cases.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • CA
      • Eggplant
      • Experitest
      • Froglogic
      • IBM
      • Micro Focus (Silk Test)
      • Micro Focus (UFT)
      • Microsoft
      • Parasoft
      • Ranorex
      • SmartBear
      • Tricentis
      • Worksoft
    • Context
    • Product/Service Class Definition
    • Critical Capabilities Definition
      • Match to Technical Role Skills
      • DevOps Tool Integrations
      • Intelligent Automation
      • Open-Source Support
      • Dashboards and Analytics
      • Match to Nontechnical Role Skills
      • Breadth of Technology Support
      • Change Impact Analysis
      • Cross-Platform/-Browser Support
      • Templates and Accelerators
    • Use Cases
      • Continuous Testing
      • Intelligent Testing
      • Progressive Web Apps/Responsive Web/Native Apps
      • Enterprise End-to-End Testing
    • Vendors Added and Dropped
      • Added
      • Dropped
  • Inclusion Criteria
    • Critical Capabilities Rating
  • Gartner Recommended Reading
© 2018 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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