6th December 2023
05:00 PM - 07:00 PM MST
Over the past decade, artificial intelligence has made significant strides in various domains, including software testing. As organizations strive for faster releases, improved quality, and cost efficiency, AI-driven testing solutions have become increasingly popular, and teams are feeling like they need to adopt AI or get left behind. But are we leveraging them properly? Or are you one of the 42% of projects that has jumped on the proverbial AI bandwagon, and is now suffering from several failed starts or even AI fatigue?
Jackie is an experienced QA Director with over 25 years‘ experience in IT and software testing. Highly regarded not only for her knowledge and deep experience in QA, but also for her ability to bridge the gap between complex technical solutions and clients’ understanding of the impact on their business, she has previously presented at the User Conference for Advanced Automated Testing (UCAAT), Scottish Testing Group, EuroSTAR Testing Conferences, Chicago Quality Assurance Association (CQAA) and the Quality Engineering Foundation (QEF), and has published various articles on software testing, business intelligence, test data privacy, and TCOEs. She grew up in Glasgow, Scotland, where she attained a Bachelors in English Literature and Language, then a Masters degree in Information Technology. Now living in New Jersey, USA, she enjoys running, rocking out on her drum-kit, cooking, reading and video games.
In this session, we will explore different software testing practices that can be applied in production, such as synthetic testing, covering its concepts, benefits, risks, and strategies. We will discuss how these approaches can enhance software quality by detecting failures in a real environment while also addressing challenges like user impact and security.
Additionally, we will present a real case study on applying automated tests to validate platform health in production, covering the challenges faced, strategies adopted, and the results achieved.
• Real-world case study on implementing automated tests for platform health validation
André de Oliveira is a QA Automation Lead specialized in software engineering and test automation. With over 15 years of experience, he has led technology projects across multiple platforms in the fintech sector. Throughout his career, he has managed QA and development teams, driving quality strategies, continuous testing initiatives, and DevOps adoption at companies like Devexperts and Itaú Unibanco. He holds CTFL, CBTS, and AWS Certified Developer certifications.
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