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