11-12 MARCH | 10 AM - 2 PM BST | VIRTUAL
After successfully executing TestCon globally in India, Singapore, Australia, Philippines, UK, and TestCon 2020 & TestFest USA virtually this year, Clavent is coming up with TestFest UK powered by Innominds.
The TestFest is a series of software testing mini conferences coming up in UK, South Africa, Australia, Philippines, Brazil, Singapore & India with 8 hours of live amazing sessions distributed over 2 days, so you get time to sink into the learnings and reflect upon it without much affecting your work schedule. The first version was successfully executed in USA on 10-11 December. Take a look here.
The TestFest will bring together hundreds of experienced like-minded people, who seek to improve their skills to fit new market requirements and stay tuned with the latest trends! The summit will provide an excellent platform to keep up-to-date with the latest industry trends, exchange experiences, discuss and deliberate ideas and benefit from networking opportunities.
So join us to network with thought leaders, collaborate with your peers and build your network in a beautiful virtual atmosphere investing just 4 hours from your schedule each day.
EVENT starts in
New connections and networking
Network with thought leaders, collaborate with your peers and build your network in a beautiful virtual atmosphere.
New trends in Testing world
The event will showcase the opportunities of advancing trends and current best practices in Testing.
Approaches and tools
During the conference we will talk about the use of useful tools, frameworks and technologies.
Meet our visionary speakers from across the globe presenting on trending topics.
Get ready to Witness panel discussion on industry disruptive topics and learn different perspectives of stellar speakers on it.
Get access to 8+ hours of insightful content streamed live or watch at your own convenience
Interactive Q & A
We encourage our audience to ask as many questions as they may have for which we have dedicated Q&A sessions.
Practitioners with hands-on experience will share their expertise and tell about challenges they face in their projects.
MEET OUR SPEAKERS
WELCOME & INTRODUCTION
Autonomous Testing Assures Software Quality for the Modern Era
Why Autonomous Testing with Self-Healing and Self-Learning is the Future of Quality Engineering “By the end of 2025, 30% of organizations will have implemented an autonomous automation strategy and will outperform competitors in quality and customer experience satisfaction metrics.” -Gartner.
In a highly competitive business, just having a continuous testing environment may not be adequate to deliver high quality applications at the market-dictated velocity. With advances in AI, ML, analytics and intelligent automation, testing organizations are abandoning scripted testing and adopting autonomous testing to enable quality across a continuous testing pipeline with zero human intervention.
Autonomous testing can be deployed across SDLC, to exponentially accelerate time-to-market ensuring both Shift Left and Shift Right paradigm, resulting in improved allocation of testing resources and reduced costs.
Adding AI and ML components to testing make it possible to introduce ‘self-learning’, ‘self-adapting’, and ‘self-healing’ features which ensure that test scripts are automatically healed and executed without any failure, even when the UI of the application under test has changed. This automated self-healing of the test scripts enables truly touchless testing environment.
Adding a layer of analytics to AI enabled QE frameworks will allow enterprises to get critical insights from test data. Therefore, shifting to AI-driven autonomous frameworks will be the future of next-generation quality engineering.
Join the session by Sairam Vedam, CMO, Innominds and Sai Chintala, President, QE & DevOps, Innominds, for a deep dive into the world of AI-led autonomous testing and discover:
The importance of autonomous testing and how it ensures software quality
How and where to use autonomous testing to remove testing bottlenecks
How to build autonomous testing capabilities
The most trending testing tools and platforms including AI-driven iHarmonyTM that accelerates testing 100x faster.
The Automate Everything Fallacy: how convince otherwise?
Everyone who knows about testing knows that it is just not possible to have hundreds and hundreds of End to End automated tests, and keep that base bigger and bigger, only because “the more the merrier”. But business usually doesn't understand about tests, and usually they are frozen in time, and believe that automate everything is the best practice. How can you, as an Agile Quality Engineering convince them otherwise?
In this talk, Larissa will talk about the Automate Everything Fallacy, discuss why this was not practical 10 years ago and is even more impossible nowadays and explain some strategies and studies that can be used to showcase that the absolute need is to automate the unit, integration and component tests, to run every commit, every merge, and to have a lean regression End to End suite. After showcasing some compelling reasons, Larissa will also discuss the imperative need to still have some manual testing, even exploratory, to ensure acceptance criteria is met.
After this talk, the audience will be able to understand why Automate Everything is a fallacy and have some hard facts and explanations to showcase the argument of having strong automation, but not only as End to End tests.
Understand the automate everything fallacy
Why focus on unit, component and integration automation tests.
Understand what the studies talk about automation, and use it as hard facts.
(Some of the) Worst mistakes you can make in automation
Automation has become a must in many projects. We dream of having automation based CI/CD pipelines that run smoothly, without any manual intervention. But sometimes our automation turns out not to be that great tool we wanted. Many mistakes are being made as the project evolves and grows. Some automation projects get abandoned simply because they are unusable after a few years. They are not scalable, they are not suitable for new needs, and nobody really knows what’s in there.
What are the worst mistakes you can make when working on an automation project? How can you avoid them? And how can you avoid the need of creating an entirely new framework months after creating the initial one? Join me as i share my lessons learned on this topic.
Having worked on a lot of varied projects, i will present tips and advice on how to approach automation, how to perform it in a reliable way and how to become successful with it.
The Joys of Managing Engineering Teams
Becoming a manager of an engineering team is a daunting task. Most of us love to write code and as we get better, we are asked to start managing teams.
My journey has been a little bit different. I came into team management by choice. In this talk, I will share some of the mistakes I have made as a mid-level manager and provide some tools for overcoming problems. Balancing personal learning as well as growing a team are difficult tasks expected from a new manager. I will be sharing my journey as I learnt to navigate through this extremely rewarding role in my professional life with multiple anecdotes to help everyone on this arduous ask.
The concept of maximum maintainability in test automation
I will share my vision on how to keep test automation scalable and maintainable on a long run.
- Test automation frameworks history
- Common problems in setting up testing frameworks
- How to simplify your tests
- How to achieve maximum maintainability
Hyper Automation – Model Based Testing 2.0
In the digital reality, technology is no longer just the enabler and it is what it is to be human, the ability to continuously learn and evolve. The approaches and techniques that worked yesterday, may no longer be the optimum approach for the future. Historically, human processes have been based on linear, sequential activities highly suitable to be replaced by digital engineering practices such as Intelligent Automation (IA), Artificial Intelligence (AI) and Deep Learning (DL). However, robots are no longer mimicking human behaviours, but far surpassing our greatest expectations, traditional hardware and software are now becoming independent self-aware intelligent entities as they continue to journey towards the Singularity. Organisations are investing in adopting cognitive services, these intelligent algorithms to understand and interpret your business needs through natural languages are help drive omni-channel delivery that are extremely responsive to customer sentiment. Blurring the boundaries Hyper Automation becoming ever more prevalent and resilient in the face of unpredictable failure modes, whilst still being able to process huge amounts of unstructured data, embarking onto this third wave of artificial intelligence and the art of solution thinking.
Day 1 - Wrap Up
WELCOME & INTRODUCTION
Testing a Data Science Model
Some background of what a data science model is, and how data plays a role in these models. Understand from vast amounts of data.
2- Understand data pipelines
3-Importance of pairing -Follow a SDLC process which may require a bit more of exploratory testing and investigation, therefore pairing with data scientist is a good way of working and understanding the model
4-Pre-testing thoughts: is the model custom made/ off the shelf?
How as a team are, we training our own model to behave?
What is my input and what’s my output?
Am I experiencing the right behaviour? (models do contain some element of randomness so how we will make sure what’s acceptable when testing the results?)
5-As testers we expect input + model that uses predictive analytics = output example 5+3 = 8 but for data scientists 5+3= 8 is not always 8 but 8.1,.8.001,.8.5 in simple words stochastic, so how will we bring processes and strategies to make sure we capture the right output results and the consumers still benefit from this? In a nutshell, making sure the model’s quality is good and we have the confidence in what we provide to consumers.
6-Test the areas we are certain about the behaviour and those areas uncertain about have some bounds around averages - expectations set
7-Exploratory testing and looking for edge cases, regression testing to see that new features are not breaking baseline results
8-Understanding what tests to perform: what is an acceptable test for the model?
Have we found anomalies? (results too off the threshold?)
How do we know what we produced as results is the right result?
How accurate are my results from the model?
What is an acceptable deviation?
9-I will give away tips that helped me and could help testers who want to explore testing models and making sure the quality of a model is providing the team enough confidence and helping a business
10- Post testing – Have we got a good understanding of what the model has provided? Are the predictive analytics working as expected? Does the shape of my data looks as expected? (testing the outputs will explain if the values are of the right type from the data input stage)
Have a better understanding of what data science is.
Know how we can test models.
Know what existing skills we already have that we can apply in a data science team.
Leave with resources to help our teams’ better structure itself to have confidence in the data produced.
David describes how Webdriver is shifting to a new bi-directional communication model which allows it to evolve and adapt, as well as offer new capabilities to testers. Learn about a new world of possibilities, one where you can maintain your old tests and upgrade them to new features as they become available.
* New Features being added to Selenium 4 and beyond!
* Use Cases for the future
* Problems that can still arise and how we can handle them!
8 biases that drive misconceptions in Testing
As social beings we are subjected to opinions and opinions vary from person to person. With almost 8 billion people on the planet having different opinions. A lot of our opinions are shrouded by biases. testing is essentially a social skill. A skill that requires communication and collaboration more than anything else.
Now imagine if social skills are being driven by biases. Would one then be talking about the things the way they should? Biases feed into opinions and these opinions in turn feed into misconceptions. Testing is full of such misconceptions. This talk looks at 8 such misconceptions and the biases behind them and focuses on getting past those misconceptions.
Panel Discussion - Automation pyramid: Relevant today?
Day 2 - Wrap Up
The only thing that grows more when you share, is knowledge. So, with this call for submissions, we are inviting you to grow knowledge. Grab this opportunity and submit a proposal to speak at TESTFEST.
Why Partner with TestFest?
- Brand Visibility to a Wider Audience
- Generate Quality Leads
- Live Product Demos & Sessions
- Real-Time Attendee Interaction
- Extensive Virtual Engagement
FOR FREE TODAY
Event joining link along with the instructions will be mailed to all the registered delegates 1 week prior to the date of the event. We advise you to join 20 mins prior using the Laptop/Desktop preferably Chrome browser and check your logistics.
In case of any technical difficulties, kindly refresh and rejoin. If the problem further persists, please reach out to us on firstname.lastname@example.org.
The networking lounge will be activated during the break and at the end of the event where you can network with other attendees and speakers. To join any of the networking tables just DOUBLE-CLICK on it. Feel free to video chat, voice chat, share screen and use whiteboard to interact with other delegates.
We urge our attendees to ask as many questions as they may have during the Q&A sessions. These questions will be answered directly by the speakers. In case any of the questions remain unanswered due to the time limitations, we will post these questions on our Testers LinkedIn Community “Clavent Technophiles” and will get them responded by our speakers.
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The link to the recorded sessions will be shared with all the attendees post event.
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