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Tutorial 9

Green Testing: AI-Driven Strategies for Sustainable Testing

Samer Naqvi

13:45 - 14:30 BST Thursday 5th June

Decarbonizing Software – Dream or Reality?

As the world faces increasingly pressing environmental challenges, the software development industry has a crucial role to play in sustainability efforts. In this talk, we delve into the intersection of software testing, artificial intelligence, and sustainability to explore innovative strategies for reducing the environmental impact of software testing processes.

Traditional software testing methods often consume substantial energy and resources, contributing to a significant carbon footprint. However, by harnessing the power of AI, we can revolutionize these practices to make them more efficient and eco-friendly.

The talk will begin with an overview of the environmental implications of software testing and the urgency of adopting sustainable practices. We will then delve into the transformative potential of AI-driven strategies in the field of quality assurance. AI can optimize test automation, resource allocation, and test data management, significantly reducing energy consumption and hardware requirements. We will discuss how AI can prioritize tests, predict defects, and prevent rework, ultimately leading to a more sustainable software development lifecycle.

Real-world case studies will be presented to demonstrate the tangible benefits of implementing AI-driven green testing practices. These case studies will highlight organizations that have successfully reduced their carbon emissions and energy usage while improving the overall quality of their software.

The talk will also address the challenges and considerations involved in adopting AI-driven green testing, including cultural shifts within organizations and overcoming resistance to change. We will provide practical recommendations and a roadmap for organizations looking to embark on this transformative journey.

In conclusion, this talk will offer a compelling vision for the future of quality assurance. By integrating AI into testing processes, we can not only enhance software quality but also contribute to a greener and more sustainable world.

What you will learn

  1. Understanding the Carbon Footprint of Software Testing: Attendees will learn about the significant environmental impact of traditional software testing practices and the urgent need for sustainable solutions in the software development industry.
  2. Leveraging AI for Sustainable Practices: The talk will highlight how AI can revolutionize software testing by optimizing processes, reducing resource consumption, and improving test automation, leading to a more sustainable software development lifecycle.
  3. Practical Implementation Strategies: Participants will gain insights from real-world case studies showcasing successful AI-driven green testing practices, along with a roadmap and actionable recommendations for organizations to overcome cultural challenges and integrate sustainability into their testing processes.

Session Details

  • Intermediate
  • 45 minutes
  • Includes 15 mins Q&A
  • Implementing/integrating AI tools
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Check out this video from Samer Naqvi to hear more about her talk, ‘Green Testing: AI-Driven Strategies for Sustainable Testing’.

We look forward to welcoming you to EuroSTAR 2025.

Session Speaker

Samer Naqvi EuroSTAR 2023 Speaker

Samer Naqvi

Global Logic UK

With over 16 years of comprehensive experience as a Test Architect, I specialize in refining QA practices and empowering teams to achieve excellence through cutting-edge tools and methodologies.

My core objective is elevating testing standards across organizations by instilling best practices and adhering to industry standards, positioning testing as a value-added asset.

Beyond my professional pursuits, I am deeply passionate about advocating for women in tech. Through speaking engagements at colleges, organizations, and prominent conferences, I actively raise awareness and motivate the next generation of young women to embrace and excel in the dynamic technology field.

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