Reducing Software Testing Timelines and Cost with AI and ML

In an era where speed and quality are crucial, leveraging Artificial Intelligence (AI) and Machine Learning (ML) in software testing is a game-changer. This white paper delves into the innovative use of Generative AI technologies to streamline testing processes, cutting down both time and costs significantly while ensuring top-notch software quality.

Leandro Ghisio
Associate Vice President, Delivery, Qualitest
Aug 09, 2024

1 min read

Business AI Generative AI Software Testing

The software development lifecycle demands rigorous and continuous testing to ensure product reliability and performance. Traditional testing methods, however, often fall short in efficiency and cost-effectiveness. AI and ML offer a transformative approach, automating tasks, predicting defects, and enhancing overall test accuracy.

In this white paper, you will explore:

Automation of test case creation and data generation.
Advanced test execution and comprehensive result analysis.
Predictive defect detection and classification.
Strategic optimization of test coverage and process efficiency.
The future landscape of continuous and autonomous testing with AI.
The power of AI and ML in software testing, which not only accelerates the development lifecycle but also reduces costs, ensuring high-quality software delivery in a competitive market.

Meet the Author – Leandro Ghisio

Leandro Ghisio is the AVP of Delivery at Qualitest, based in London. Before joining Qualitest in 2021, he was a Senior Manager at KPMG and has held various positions in SAP Testing and Consultancy.

Connect with Leandro on LinkedIn

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