Francesco Calore
Apuliasoft - Senior Developer
Pulsano, Italy
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Francesco Calore is a Senior Developer at Apuliasoft, and a test automation expert with over a decade of experience building full-stack enterprise solutions. Until December 2025, he served as a QA Lead and SDET at Oracle NetSuite, where he spearheaded the restructuring of testing frameworks for complex markets—driving test coverage to 85% and cutting regression times by 30%. A polyglot engineer (Java, TypeScript, C++), Francesco pairs his Agile expertise and ISQI CTAL-TA certification with a highly innovative approach: he actively integrates Gen-AI into daily coding practices to automate refactoring and optimize release quality.
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Gen-AI in the Trenches: Automating Refactoring to Cut Regression Times by 30%
Technical debt and slow regression suites block agile delivery.
This hands-on session shows developers and QA engineers how to move Gen-AI beyond the hype.
We will:
- Explore the practical setup of a modern Java/TypeScript testing framework engineered to leverage AI tools.
- Learn how to identify, rewrite, and stabilize legacy tests using advanced Prompt Engineering, while managing AI hallucinations and traps.
- Walk away with 3 actionable steps to start implementing AI-driven refactoring today.
Target Audience: QA Leads, Software Architects, Senior Developers, and Test Managers.
Prerequisites: Basic understanding of Agile methodologies, E2E test automation concepts, and familiarity with Java/TypeScript environments.
Technical Requirements: Standard projector/screen for slides (16:9 format) and clicker. No risky live-coding is planned, but real architectural diagrams and code snippets will be presented.
Preferred Duration: 40-50 minutes (including 10 minutes for Q&A).
Additional Context: This proposal is driven by a real-world, large-scale enterprise case study. It focuses on practical implementation and measurable results (such as coverage metrics and regression times) rather than high-level theoretical concepts.
Scaling E2E Test Coverage: Strategies for Enterprise Localization
Localizing enterprise systems for markets like EMEA/LATAM introduces immense complexity.
Running with low coverage is gambling with your releases.
Designed for QA leads and architects, this session outlines a strategic roadmap to:
- Scale E2E test coverage to 85%+;
- Learn risk-based testing to prioritize scenarios;
- Redesign scalable automation frameworks;
- Integrate testing into Agile cycles through team mentoring, ensuring high coverage doesn't degrade over time.
Target Audience: QA Leads, Software Architects, Senior Developers, and Test Managers.
Prerequisites: Understanding of Agile testing lifecycles, basic knowledge of software architecture, and familiarity with the challenges of enterprise-scale localization.
Technical Requirements: Standard projector/screen for slides (16:9 format) and clicker. No risky live-coding is planned, but real architectural diagrams and code snippets will be presented.
Preferred Duration: 40-50 minutes (including 10 minutes for Q&A).
Additional Context: This proposal is driven by a real-world, large-scale enterprise case study. It focuses on practical implementation and measurable results (such as coverage metrics and regression times) rather than high-level theoretical concepts.
Beyond the Prompt: Integrating Gen-AI into the Agile Testing Cycle to Ensure Release Quality
Agile delivery forces a constant tension between speed and quality.
This session bridges the gap, showing how to embed Gen-AI into the active testing lifecycle.
We will explore practical applications: assisted test design from specifications, 'four-handed coding' for E2E scripts, and delegating code optimization to AI.
Finally, we'll address cultural adoption, team resistance, and the concrete KPIs showing how an AI-augmented cycle helps teams consistently deliver excellence.
Target Audience: QA Leads, Software Architects, Senior Developers, and Test Managers.
Prerequisites: Solid understanding of Agile delivery cycles and QA processes. No advanced AI or specific programming language expertise is required to follow the core concepts.
Technical Requirements: Standard projector/screen for slides (16:9 format) and clicker. No risky live-coding is planned, but real architectural diagrams and code snippets will be presented.
Preferred Duration: 40-50 minutes (including 10 minutes for Q&A).
Additional Context: This proposal is driven by a real-world, large-scale enterprise case study. It focuses on practical implementation and measurable results (such as coverage metrics and regression times) rather than high-level theoretical concepts.
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