6th December 2023
05:00 PM - 07:00 PM MST
“Risk-based testing has been her core approach for many years.
She sees strong alignment between risk-based testing and current advances in AI and automation.
AI should not be treated as a replacement for existing testing practices.
Instead, AI acts as a force multiplier for strong testing fundamentals.
The foundation of good testing still includes:
Identifying risks early
Communicating risks clearly across engineering and product teams
Documenting what will and will not be tested within time and cost constraints
These fundamentals are more important than ever because AI tooling has dramatically increased development speed.
AI tooling helps testing in several critical ways, including:
Generating structured and semi-structured test data (similar to tools like Python Hypothesis)
Drafting risk summaries, test matrices, and coverage tables to align teams early
Analyzing UI code (HTML, DOM, selectors) to propose stable test locators
Producing boilerplate automation code that engineers can refine
Helping testers identify and explore non-obvious edge cases
Supporting continuous refinement of risk models as requirements evolve
Assisting testers in documenting their exploratory testing
She can walk through the core risk-based testing method (how teams identify, evaluate, and communicate risk).
She plans to demonstrate how AI tools strengthen each stage of this process without replacing human judgment.”
Jess Ingrassellino is a leader, educator, and musician driven by a passion for growth, creativity, and meaningful change. Her career spans technology, education, and the arts-each grounded in a belief in lifelong learning and equitable impact.
She holds four advanced degrees, including a Doctorate in Educational Assessment, and is currently pursuing her fifth degree in Software Engineering. As an engineering leader, Jess specializes in building high-impact teams, solving complex problems, and driving strategic initiatives.
As an educator, she has developed curricula, taught Python to students aged 8–18, and trained teachers to integrate technology in thoughtful, inclusive ways. As a professional violinist, she uses music as a medium for reflection and connection.
Across all her work, Jess is committed to authenticity, equity, and helping individuals and organizations grow with intention.
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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