Track talk

11:05 AM - 11:45 AM I TRACK 2 I 8 November 2024

About David

David Fogl is the CEO of Continero and a board member of the Robot Framework Foundation, boasting over a decade of experience in software testing and development. He has led major QA agile transformations and implemented test automation solutions using Robot Framework, Python, C#, and Java. Since late 2022, David has focused on integrating AI into business processes and QA, conducting workshops and training sessions to help businesses leverage AI for enhanced operational efficiency. His comprehensive expertise and forward-thinking approach make him a pivotal asset in the evolving landscape of software testing and AI integration.

Speech title

Integrating AI into Automated Testing: Strategies and Insights

Speech description

This talk explores practical strategies for embedding AI into automation testing suites, with a focus on Python and Robot Framework. The session will cover:

  • Automating Routine Tasks: Using AI to handle repetitive tasks, freeing up time for more complex testing activities.
  • Generating Test Data: Leveraging the RealTestDataGenerator module to create realistic and diverse test data using AI models.
  • Enhancing Test Reports: Implementing AI to generate more comprehensive and understandable test reports for broader audiences.
  • Streamlining Bug Reporting and Maintenance:Utilizing AI to improve the efficiency of bug reporting and maintenance workflows.
  • Persistent AI Interactions: Employing the Assistant module for continuous learning and knowledge retention, enabling more dynamic and adaptable testing processes.
  • Dynamic User Interactions: Using the Chatbot module to simulate user interactions and generate automated responses, enhancing the flexibility and scope of your tests.

This session is designed to offer actionable insights for seamlessly incorporating AI into various automation frameworks, enhancing testing quality and operational efficiency. It is tailored for professionals seeking to leverage AI to optimize their testing environments.

For more information on the Robot Framework AI Library, visit the GitHub repository.

Nov 7 - 8

Palais Wertheim, Vienna
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