There are a common set of techniques that seasoned test automation practitioners know to be the pillars of any successful automated testing practice that can be fit into most (if not all) team contexts.

But some things have either been left out, or are described in ways that are disadvantageous for the industry simply because we don't talk about it from the perspective of the fundamentals used to craft them.

By reasoning from first principles, we will be able to unearth a more impactful definition of test automation that can act as a compass and help supercharge everyone's test automation practice - while also understanding how to navigate the uncharted waters of new technologies that challenge existing paradigms.

Explore the exciting possibilities of Generative AI in business process automation, a once-daunting concept now made accessible by OpenAI / ChatGPT and other AI/ML technologies.

Join Jonathan as he discusses practical applications of Generative AI in Software Delivery, no AI expertise required.

Don't miss out on implementing these valuable practices and being part of the future of software development.

Discover how to seamlessly integrate continuous
performance testing into your DevOps processes, enabling your development team
to ensure peak app performance after every code change.

API testing plays a crucial role in ensuring the reliability, functionality, and security of modern software applications.

Yet, conducting API tests manually can swiftly become burdensome and time-intensive.

In this session, Anna will demonstrate how attendees can expedite their journey toward API test automation using Cypress, a user-friendly framework renowned for its ease of use and accessibility.

Explore the evolution of AI in test automation as we uncover the problems with traditional coding and show how AI makes testing smarter and easier.

See how AI connects code and cognition, bringing ground-breaking innovation to testing.

Many software teams do not utilize smoke testing or understand its purpose.

Smoke testing helps quickly validate critical functionality and prevent wasting time testing an unstable system.

This session aims to increase smoke testing awareness and share a plan with you for how to get smoke tests automated quickly and run consistently going forward.

In this is session Dan will explain what smoke testing is, give advice on implementing it, share best practices for effective smoke testing, and show a real-world example -- to help teams implement effective smoke tests to detect issues early, mitigate potential risks, and save time & money in the long run.

2-3 Takeaways From The Session:
- Meet with teams early to determine critical test cases for smoke testing.
- Automate smoke tests for speed and consistency, integrate into CI/CD.
- Intercept API calls during testing to validate responses.

The transition to cloud platforms has brought about significant advantages for enterprises, including enhanced agility, scalability, and reduced capital costs. However, the practices of application lifecycle management are striving to catch up with this transformative shift. Continuous Integration (CI) and Continuous Delivery (CD) have emerged as crucial components for traditional application development and release management, enabling the continuous release of high-quality products with integrated customer feedback.

While developers are well-acquainted with Continuous Integration, Continuous Delivery, and Continuous Deployment (the 3Cs), the realization of these practices necessitates a fourth C—Continuous Testing, also known as Test Automation. In the realm of modern continuous integration and deployment environments, each change demands a set of tests, and the completion of each test provides valuable information for test reprioritization, identifying code issues, analytics, and more.

Notably, Artificial Intelligence (AI) plays a pivotal role in this landscape, driving innovation in continuous testing. The need of the hour is an effective framework for orchestrating automated tests at scale, facilitated by AI capabilities. This approach accelerates releases while maintaining a vigilant focus on quality. Join Manoj as he explores the top challenges in continuous testing and effective strategies for managing tests at scale. The presentation will draw on practical examples, addressing key challenges such as choosing the right tool/framework, determining what to automate, handling flaky tests, managing test environments, and executing distributed testing on remote machines.

This talk will delve into intermediate to advanced usage of tools including Selenium, Docker, Kubernetes, LambdaTest HyperExecute. Live demonstrations from LambdaTest will showcase real-world implementations of AI in continuous testing.

This session addresses the issue of bridging the gap between technical and non-technical teams in test automation, highlighting how low-code solutions can empower diverse team members and transform skepticism into enthusiasm.

Natural Language Processing (NLP) is rapidly evolving and has a huge ability to reshape many industries.

This session will equip you with an introduction to NLP and the knowledge to test this type of AI effectively, preparing you for the future.

The fact is that NLP, despite its complexities, can be tested in a straightforward manner.

In this session, Emily will use Mocha and Chai in TypeScript - although no coding knowledge will be needed to follow along.

Setting up test automation can be a painful task. Setting automation up for mobile projects can be even more painful. There are tools on the market, that require heavy installation and configuration processes. It takes lots of time. Time that can't be used for writing automation scripts.

How cool would it be, to have a test automation tool for mobile apps, that can be installed in some minutes with just a few commands? Sounds too good, right? In this talk, Daniel will show how fast and easy the setup of maestro is. He will show from scratch the installation process as well as writing the first automation script for any mobile app available on the market!

Key Takeaways:

- How to install maestro
- How to write your maestro script

Discover how AI transforms the SDLC. Through practical examples, learn how to seamlessly integrate AI into your daily work to speed up software delivery and improve quality.

We all hate test flakiness. Unfortunately, there is no tool out there that has given us a 100% flake free testing experience.

The only way to fix that is to dive in and understand what’s going on.

In this talk, Filip will share examples of the most common flakiness sources and give actionable solutions for fixing them, while at the same time avoid unnecessary waiting that prolongs test execution.

He’ll take a deep dive into test code as well as the application code and get a better understanding of underlying logic.

Plus, he’ll also reveal the invisible monsters that break our test automation and find ways to remove them.

Are you looking to elevate your software testing game and harness the power of automation?

Join our immersive 90-minute workshop to embark on a comprehensive journey toward more efficient, reliable, and streamlined testing processes.

In today's blink-and-you-miss-it pace of software development, automation testing has become a critical component for delivering high-quality software at speed.

However, achieving success with automation requires more than just choosing the right tools or writing scripts.

It demands a well-rounded automation strategy, thorough understanding of fundamental concepts, and the ability to adapt and scale as your project evolves (which it will).

One of the great challenges with increased velocity in software delivery is the implementation of continuous quality alongside the development effort.

As software development practices mature, software QA must keep pace and provide value to not only the QA team members, but also to the developers directly.

By linking quality assurance reporting directly into CI platforms such as Jenkins, developers get feedback on the status of their software changes as quickly as possible in the solutions they already know and use, while the QA teams still have complete visibility into the state of quality from their own solution set.

By sharing information quickly and in context, both teams work much more efficiently and easily in the journey of software delivery.

This session will provide engineers with the ability to test their API's in an automated fashion, pre-merge.

Manual QA is the most expensive QA method a company can employ and our company was dependent upon it.

We transitioned to an automated first methodology and do not regret it.

In this session, you'll discover how:
• Manual QA is absorbing valuable time for QAs who can spend their time writing automation (e2e, performance, penetration testing, exploratory testing, stress testing and so on) which increases the quality of the product in a more impactful way than using exclusively manual testers.
• With smaller QA teams on smaller development teams for small to mid sized tech companies it is vital to have automation methods in place over manual testing by QA engineers to ensure quality.