As the software development landscape evolves, quality engineering (QE) and test automation face increasing demands for speed, accuracy, and efficiency. Traditional testing methods struggle to keep pace with the complexity and rapid release cycles of modern software applications. Enter AI-driven test automation: a transformative approach that leverages artificial intelligence to revolutionize how testing is performed.

“Leading the Future of Quality Engineering with AI-Driven Test Automation” topic will provide test leaders and quality engineers with insights and strategies to harness the power of AI in their testing processes. This session will explore the intersection of AI and test automation, focusing on how AI can enhance test case generation, predictive analytics, defect detection, and test maintenance.

This session will conclude with a forward-looking perspective on the future of AI in quality engineering and test automation. Attendees will gain valuable insights into emerging trends, preparing them to lead their teams and organizations into a future where AI-driven test automation is the norm.

Over the past 20 years, we’ve witnessed a remarkable evolution in application hosting, transitioning from physical servers to virtual machines, then to cloud-based infrastructure, and finally to containerized applications running on the cloud.
In this session will explore how each of these advancements reshapes our approach to performance testing and shifts our mindset.

Grasp the Essentials: Explore the distinctions between hosting on physical servers, virtual machines, cloud infrastructure, and containers in the cloud.- Metric Implications: Understand how these hosting options impact the traditional performance metrics.- Scaling Dynamics: Discover the transformations that occurs when scaling enters the equation.- Unseen Costs: Uncover the hidden expenses lurking in cloud deployments.- Performance Insights: Gain a nuanced perspective on the pros and cons of each hosting strategy from a performance standpoint.

Over the years, cloud technologies have become increasingly integral to the software testing industry. Cloud technologies provide the infrastructure and services needed for testing, offering scalable resources essential for running high-load performance tests and enabling teams to execute large-scale test suites efficiently. This evolution in cloud technology is revolutionising software testing by enhancing efficiency and facilitating innovation.
This talk will explore how to build and leverage these essential skills to enhance testing practices and boost productivity.
We will start with an introduction to cloud computing, laying the groundwork for understanding their pivotal roles in modern testing environments. Attendees will learn a structured approach to developing knowledge in these areas, focusing on practical skills and knowledge that can be applied directly to their testing processes.
The session will then delve into specific applications of cloud technologies in testing through real-world examples drawn from my own experience.

• Understanding cloud fundamentals: Overview of cloud technologies and their significance in the context of software testing.
• Skill development strategies: Learn effective strategies for building and enhancing skills in the cloud, tailored to the needs of software testing professionals.
• Practical application in Quality Engineering: Discover how to integrate cloud solutions into quality engineering activities to streamline processes and achieve better outcomes.

Join us for an engaging session exploring the transformative impact of AI on software testing. We will delve into two key aspects:

• The current state and future evolution of AI-driven testing, from automating test strategies and unit tests to the visionary future of fully autonomous testing systems.
• The critical need for testing AI models themselves, focusing on verifying and mitigating issues like toxicity and bias to ensure ethical and reliable AI deployments.

This talk will provide insights into the current advancements, potential intermediate stages, and the aspirational future of AI in testing. Additionally, we’ll discuss essential practices for testing AI models to uphold quality and fairness.

Understand the current applications of AI in automating software testing tasks.

• Learn about the future potential of autonomous testing systems and the steps to get there.
• Gain insights into the best practices for testing AI models to detect and mitigate issues like bias and toxicity.
• Discover the dual perspective of testing AI and leveraging AI for testing, and how this will shape the future of software quality assurance.

The industry is moving towards more Quality Engineering. As such, our mindset as a QA must also evolve, and one of them is the change from Black-Box to Grey-Box. We will see how this can be applied in all test type (manual and automation), the benefits, and tips how you can start from today.

Grey-Box Testing mindset.

Transforming automation framework and practices in enterprise level are a complex task.
This require upgrade in skills, ways of working and stakeholder management.

Lesson learned and tips on how to transform automation practices

• Are you tired of how long it takes to code Automation scripts with Page Object Model?
• Are you tired of trying to fix issues in very long End to End Automation scripts that you can’t run locally?
• Are you tired of figuring out which data your test cases use?
• Let’s go through the journey of how a brand new Automation pattern and framework was built over Playwright.

A new Automation script pattern that’s easier to script and maintain when compared to the traditional Page Object Model.

I am an experienced test analyst with programming (JavaScript, Python, C#, Java, SQL) and automation skills (Selenium, Postman REST API, JMeter). I have about twelve years of testing experience, having worked within the Energy and Digital Media industries and more recently in Finance, Banking and Wealth Management and Agri-Tech.

I am a results oriented tester with sound understanding of the SDLC coupled with strong analysis and design skills. I have a good analytical mind and follow through on issues until resolved.

I am an enthusiastic and creative self-starter with a proven ability to develop rapport with both business and technical teams.

I can work independently with minimal support to design, create and execute test strategies and scenarios along with the associated test data. I can work within tight schedules and complex, integrated environments.

Originally from the UK, Mark has spent the last 30 years working in the Testing industry in Australia. Having spent most of this time working with some of the largest consulting and Global System Integrators in the world, he has been responsible for managing testing for clients both in Australia and the SE Asia. Previously he worked as testing trainer developing and conducting testing training in the region. Currently Mark works as the Testing Practice Director for Infosys, managing a testing portfolio covering retail, Energy, Utilities and Public Sector across Australia, New Zealand and Asia.

A people-centred leader and a “perpetual student”, I have over 25 year of experience in testing. I have a passion to bring people together to solve problems, and my technical delivery background, adaptability and cross-cultural competence are the unique strengths that help me create and lead engaged and effective teams. I pride myself in building teams that celebrate diversity of thought, skill and outlook, supporting each member to be their best self, both professionally and personally.
I am a passionate advocate for testing, within delivery teams, organisations and in the broader industry, and continually work to inspire exceptional individuals to take on a career in testing.

Software engineer and QA professional specializing in continuous testing and transformation. 15+ years of experience delivering IT projects around the globe helping organisations adopt new ways of working to become more efficient in order to reduce test/QA effort and cost.

An experienced tech leader with extensive expertise in SaaS companies using Agile and Lean methodologies. Proficient in leading high performing teams and implementing diverse testing strategies across various platforms.

I have successfully established and scaled QA and processes from the ground up in organizations with no prior quality assurance systems. A passionate mentor and coach, dedicated to fostering growth and success in others.

I bring a human-centric and innovative approach that balances technical standards, user experience, team dynamics, and organizational culture to all my projects