Best Practice Report

The Path To Autonomous Testing: Augment Human Testers First

Distinguishing Myth From Reality In AI-Based Autonomous Testing

January 7th, 2019
With contributors:
J. P. Gownder , Mike Gualtieri , Christopher Mines , Andrew Dobak , Kara Hartig

Summary

Digital acceleration can’t happen without better-quality software, and software testing matters more than ever for quality at speed. However, test automation lags, and growing complexity challenges testers. AI and machine learning (ML) will help build better software faster. This report outlines emerging AI- and ML-based practices and technologies to improve software testing by augmenting human testers; AD&D professionals should read this report to distinguish between the myth and reality of AI-based testing.

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