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Tutorial 9

Green Testing: AI-Driven Strategies for Sustainable Testing

Samer Naqvi

13:45 - 14:30 CEST 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.