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Introduction

Functionize assists testers with algorithms to take over 90% of the testing effort, taking in the entire testing lifecycle from creation to maintenance and to scale, all driven by machine learning (ML)-based automation.

Highlights

  • Tests are created using ML-driven natural language processing (NLP) tool and autonomous test case creation.

Features and Benefits

  • Assess the model-based application testing with ML specific to each customer’s environment.
  • Learn how Functionize uses machine learning in testing.

Key questions answered

  • Which areas of testing does Functionize cover?
  • How does machine learning assist in testing?

Table of contents

Summary

  • Key messages

Recommendations for enterprises

  • Why put Functionize on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors