PractiTest is an end-to-end test management platform that centralizes all your QA work, processes, teams, and tools into one platform to bridge silos, unify communication, and enable one source of truth across your organization.

With PractiTest you can make informed data-driven decisions based on end-to-end visibility provided by customizable reports, real-time dashboards, and dynamic filter views.

Improve team’s productivity; reuse testing elements to eliminate repetitive tasks, plan your team’s work based on AI-generated insights and enable your team to focus on what really matters. 

PractiTest helps you align your testing operation with business goals, and deliver better products faster.

Accessibility is a vital component of modern Quality Assurance (QA) strategies, ensuring that digital products are inclusive and usable by all, including individuals with disabilities. By integrating accessibility testing into QA processes, organizations can enhance user experience, comply with legal standards, and expand their reach to a broader audience. This approach not only mitigates risks but also fosters innovation and improves overall software quality. Prioritizing accessibility in QA helps create equitable digital experiences, reinforcing a company’s commitment to diversity, usability, and customer satisfaction.

Testing with Inclusion: The Crucial Role of Accessibility in QA Strategies

Hallucinations, non-deterministic results, and continents-worth of energy consumption—these problems have no real solution. We’re stuck with them. How can we factor these uncertainties into the productivity gains we get from the tools? What if a 30% productivity gain is as good as we get? I will cover the promises, the realities, and the current/future states of Generative AI as it applies to testing software. We will acknowledge the unmovable realities getting in the way of the unstoppable fantasies and help you separate the benefits from the grift.

A Skeptic’s Guide to AI in Software Testing

Software testing today involves much more than just catching bugs. With the power of innovative technologies, you can transform your testing process to be faster and smarter, empowering you to deliver exceptional results. In this webinar, Joel Montvelisky, Chief Product Officer at PractiTest, will guide you through the practical ways AI can help you write better tests, make smarter decisions, and embrace the future of QA with confidence.

What You’ll Learn
How to write better, smarter tests with the help of AI-driven tools and methodologies.
Ways to increase efficiency in managing your testing process while maintaining high standards.
Real-world examples of AI implementation in test management and what they mean for your QA strategy.

The future of QA- Leveraging AI in Test Management.

In the world of Quality Assurance, the capacity to venture beyond established procedures can transform a software product from merely functional to exceptionally reliable and resilient. This webinar explores the parallels between a QA professional’s ability to creatively engage with software and how that same mindset might apply to hobbies like canning or gardening.

Beyond the script: Balancing creativity and precision in QA (and in life)

With extensive mentoring experience, Alex Pshe has helped over 200 QA professionals successfully transition into QA Automation. Drawing from her journey, she has crafted a step-by-step guide designed to help others avoid common mistakes and fast-track their transition, even as early as 2024. For those feeling stuck or uncertain about their next steps, this session offers valuable “cheat codes” to simplify the path to success.

Mastering the Transition: Overcoming Challenges in QA Automation

Test automation promises faster and more reliable testing. However, implementing it effectively isn’t easy. From maintaining test stability to integrating automation into continuous integration/continuous delivery (CI/CD) pipelines to finding the right test automation tool stack, testers face numerous hurdles. In this webinar, Daniel will talk about the key challenges in test automation. He will not only talk about the challenges, he will also provide solutions for them.

Challenges in Test Automation and How to Solve Them

How do you come up with cases for your APIs? Is it enough to check they return the right status? No.

APIs are complex, so even a couple cause us to be overwhelmed by the options. But the options are good. We want the ideas, so we can prioritize based on our needs. We just need to understand our system and come up with proper ones.

History has proven that the best way to come up with ideas is collaboration. So that’s what we’ll do.
This is an interactive session on API Test Planning. Given only two APIs (and a semi-sane moderator), we’ll come up with creative ways to test them.

Sounds easy? APIs are complex. And in this session, we’ll see how much, and how to think of different aspects of APIs when testing.

API Test Planning LIVE

In the software world, we talk a lot about quality. Business leaders say they want the best quality product – though they often fail to understand how investing in quality pays off.  Customers have their own views of what quality means to them, which may be surprising to the business. Delivery teams are concerned about code correctness, and the many types of testing activities.  

With so many different perspectives, it’s no wonder organizations get confused about how to deliver a product that delights their customers. The Holistic Testing Model helps teams identify the levels of quality they need for their product. It helps them plan the types of testing activities they need all the way around the continuous software development loop. Using this holistic approach to agile development helps teams feel confident in delivering changes frequently. Lisa will share her experiences with this whole-team approach to quality and testing. 

Key learnings: 
* A holistic quality and testing approach throughout the continuous loop of software  development, using the Holistic Testing Model 
* Apply the Holistic Testing Model to create an effective test strategy
* The importance of bug prevention and value injection over bug detection 
* How to plan and fit testing activities at all levels into short agile iterations with frequent  delivery, and continuous delivery

A Holistic Approach to Testing in an Agile Context

Have you ever inherited a testset and wondered about its worth? If it’s complete? If it’s good? A lot of test strategy approaches focus on new projects where you start from scratch, but in reality, you’ll often inherit an existing testset of an already running project. So how do you evaluate the value of that testset? How do you see if you are missing something or if you are overtesting things? How to choose what to automate? What to put in a regression testset? What to test first when under time pressure?

This approach can be applied to all of these questions and helps give the whole team insight into the potential value of testing. It will open up the conversation about what you will and won’t be testing with evidence to substantiate those choices.

OSRS: Your New Test Strategy Multitool

What does a day in the life of YOU look like at work? Do you struggle to complete projects on time? Are there issues that seem to pop up with every deliverable? Does your team respect you and your contributions? Does your boss understand what you are trying to accomplish? Do your stakeholders appreciate the outcomes that you and your team provide?

It’s very likely that one of these questions resonated with you when you read it. In fact, there is a chance that ALL of them do! We live in a fast-paced world where it’s easy to get so caught up in a routine where every day looks the same.

There seems to be minimal time allowed for growing, improving, and building connections.

Imagine a new world where you focus daily on personal growth. A world where you engage effectively with your boss, your peers, and your subordinates. A world where you go from just “showing up” or “keeping up” to “growing up” and improving not only your workplace but your personal life.

Join Mike Lyles as he shares decades of experiences in IT and leadership roles and how he has used these experiences to help him grow as a leader in IT.

Key Takeaways:

Key learnings from years of IT experiences
Suggestions for how to move from “communicating” to “connecting”
Tips to move from leading “followers” to leading “leaders”

Taking Your IT Leadership to the Next Level

Explore how GitHub Copilot streamlines test automation by generating and optimizing scripts, from unit to API tests. Learn how it reduces development time, suggests best practices, and improves code quality. This session is essential for those aiming to boost efficiency and maintainability in test automation.

Automate Smarter, Not Harder: GitHub Copilot your AI Test Buddy

In this session, we will explore the transformative potential of AI in Quality Assurance, particularly how it can be leveraged for intelligent test management. We will discuss practical implementations, the benefits of AI-driven testing, and strategies for integrating these tools into existing QA processes. Attendees will gain insights into the future of QA and how to stay ahead in an increasingly automated landscape.

The Future of QA: Integrating AI for Intelligent Test Management

Model-based testing is a novel technique that makes QA teams more powerful. It focuses on intended system behavior, and then automatically derives test plans and scenarios from it. The intended behavior is visualized and verified against regulations/policies, helping early detection of requirement errors.

Model Based Testing: A Powerful Way to QA

Building an automation solution that will support our teams for years to come can be a challenge. But sometimes what we hope to milk actually turns out to be a rodeo. What are some early indicators that the solution we are working on might not work, and should we be better off shooting it?

Are You Having Cheese or Steak?

In this talk, Francisco will explore the inevitable shift from traditional Quality Assurance to Quality Advocacy. This evolution moves beyond defect detection, driving a proactive and strategic approach to quality at every stage of the development lifecycle. We’ll discuss how automation and Continuous Integration are key drivers of this revolution, and how T-shaped QA professionals are becoming architects of digital excellence, focusing on delivering value-driven services rather than just software. This new paradigm advocates for quality as a collaborative, organization-wide effort that aligns with the modern enterprise’s needs.

Quality Advocacy: The Next Generation of Testing Excellence

Supporting evidence does not teach us as much as opposing evidence. We are people who support and oppose on principle, in search of knowledge. We are balancing the perspectives of friends and foes, professionally, all day long.

We’ve been at this test automation thing quite a while, and three decades have given me the space to come to a principle that helps my projects succeed slightly more often with test automation: Time used on warning about test automation is time away from succeeding with it. We know from a particular literature genre of romance novels that tropes starting with friends or foes both end up with love, and we could adult up to improve our communication to more purposeful change.

A year ago, we set up a panel conversation to seek ideas for ending well off with test automation. In this talk, we lend the tension of disagreements of the past, to enable learning, combined with the stories of real projects.

Maybe at this time of AI and getting computers to ‘act humanly’, we need to team with an old enemy to make sense of how we peacefully coexist with the new, with healthy boundaries keeping the friendship in check.

Key takeaways:

When the stakes are high, we work with friends and foes
How to increase the odds of good results we can like with the tools
How to navigate the recruitment trap and the in-company growth plains

Test Automation: Friend or Foe?

I like clean code. It shows that people care about their teammates, the ones who will need to step in and understand what is going on.

And when I see clean tests – it’s even better. With readable, clean tests, it becomes even easier to maintain the code.

So what makes tests clean? We’ll talk about the patterns and this time, we’ll tackle web tests. How can we make them easier to understand, write, and maintain? Can it be done by AI?

In this session, we’ll talk about anti-patterns in tests, how they get that ugly, and how to clean them up. We’ll see how clean code principles apply directly to web tests. From removing duplication, good naming, using proper constants, and then moving to more complex issues of abstraction, builders and factories, fixtures and test organization, and of course, we’ll see how the almighty Page Object model makes things easier to maintain. Sometimes (I’ll explain).

There’s a reason most tests look the same. We copy them but don’t get back to refactor them. Let’s remove the cobwebs, and make these web tests clean.

Clean Web Testing

As business demands for a shorter time to market continue to rise, testing teams can struggle to find the right balance between adhering to these demands and maintaining sufficient coverage to ensure the released products meet the desired quality standards.

Using the power of AI, we offer a model that combines the value each test provides along with the current time limitation to determine which tests are best to execute.

Not Too Little, Not Too Much: How to Test Just the Right Amount

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