BRYNLEY SCULLY - CTO, Tescom Singapore
AI UNDER TEST: HOW TO TEST WHAT YOU CANNOT PREDICT
As AI systems become integral to various industries, ensuring their reliability and performance is critical. This talk explores the evolving landscape of software testing, focusing on the unique challenges AI-based systems pose. Traditional testing methods often fall short when applied to AI due to its complexity, non-deterministic outputs, and reliance on vast datasets. In this session, we’ll dive into innovative approaches to testing AI systems.
SUMIT PAL - Independent Consultant
AI BASED TESTING AND VERIFICATION
This session will discuss automation, test data management, test scripting, exploratory testing enhance testing with Large Language Model (LLM)
- Identify opportunities to improve test quality with AI
- Construct test automation with AI tools
- Ideas during exploratory testing using AI tools
- Leverage AI tools to aid the design process of new features
- Improve testability with AI tools
- Maximize output with prompt engineering
KATHLEEN AQUINO - Quality Engineering Architect - Associate Manager, Accenture Inc
ACCESSIBILITY AND INCLUSION IN TECHNOLOGY
Another AI that we need to talk about is Accessibility and Inclusion. It is one crucial aspect of technology that deserves constant attention. In today’s digital age, ensuring that products, services, and experiences are accessible to all individuals, regardless of their abilities, is not just a nice-to-have feature - it's a necessity. By focusing on Accessibility and Inclusion, we create technologies that enhance the lives of everyone, empower those who may face barriers, and contribute to a more just, equitable society.
ANTONIO BARROQUILLO JR - SAVP - Head of Application Obsolescence Management & Delivery, BDO Unibank, Inc
DIGITAL TRANSFORMATION IN QUALITY ASSURANCE
Digital transformation in quality assurance (QA) in 2024 is heavily driven by AI, cloud technologies, automations, other quality-first approach in software development, to enhance efficiency, accuracy, and scalability.
AI is now heavily used to predict defects and vulnerabilities, optimize test case selection, coverage, & maintenance, and to implement self-healing systems. For Automation, improvement in CI/CD was introduced by embedding cybersecurity testing, enhanced testing efficiency through no-code/low-code testing platforms, and ramped up the use of RPA.
IT is increasingly leveraging cloud technologies to enable scalable & distributed testing environment, testing virtualization, reduce infra cost, and test environments as a service.
There are also enhancements on the approach for IOT and Edge Testing.
These key trends and developments in QA transformation is helping IT and Business to further achieve faster delivery cycles without compromising quality in increasingly complex software ecosystems.
EBENEZER UY - Vice President of Tech Delivery, Yondu
UTILIZING INTELLIGENT AUTOMATION TOOLS IN DRIVING TEST AUTOMATION
Discover the capabilities of intelligent automation and how it may help in building test automation tools.
GARY PANTORILLO - Senior Software Quality Engineer, Amaysim
STARTING AN AUTOMATED PERFORMANCE TEST ON A PIPELINE
How we kickstart an automated performance test that run on our deployment pipeline
TOPHER COMETA - Chief Delivery and Information Officer, Novare Technologies
DEVTESTOPS
As automation brings efficiency and accuracy in testing, AI can put it on another level. AI Testing helps you deliver faster and with less risk.
BINH TRAN - VP of Product Management, Katalon
IMPROVING QUALITY AND PRODUCTIVITY OF TESTING WITH CENTRALIZED QUALITY MANAGEMENT, FUTURE-PROOF APPROACH WITH AI
In today’s fast-paced software development environment, Centralized Quality Management (CQM) is essential for improving testing efficiency and ensuring consistent quality across projects. This presentation outlines key components of a CQM framework that integrates manual, automated, and autonomous testing processes. Leveraging native AI, advanced analytics, and seamless DevOps integrations, CQM empowers organizations to standardize quality processes, optimize productivity, and enhance adaptability to evolving demands. Attendees will gain insights into creating a scalable, future-ready testing ecosystem that meets the speed and quality needs of modern development cycles.
