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Quality Engineering: Continuous Testing and AI

Customer Perspectives

by Dominique Raviart

published on Feb 08, 2022

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Report Overview:

This report is for end-user (buy-side) organizations who are interested in understanding the current and future shape of the quality engineering (software testing) services market as well as the requirements and experiences of their peers.

Key Findings & Highlights:

This report examines high-potential testing services offerings, including established services with further room for growth (e.g., continuous testing) and emerging areas (e.g., infrastructure-as-code).

The quality engineering (QE) offerings covered are:

  • Continuous testing
  • Application migration to the cloud testing
  • Infrastructure as code (IAC) testing
  • Model-based testing
  • AI-based analytics for more focused testing
  • AI-based automation, usually for automating the creation and maintenance of test cases/scripts
  • Testing of RPA bots
  • Testing of chat- and voice-bots
  • Testing of AI models
  • Explainable AI
  • UX testing across usability, compatibility, accessibility, and content testing
  • Application security testing.

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