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GLEN ACCARDO - HPTC Test Automation Lead, Schlumberger

INTELLIGENT TESTING AND ANALYTICS APPLICATION TO REDUCE CYCLE TIME.

We've all been there: tests fail for no obvious reason. The team says that it is random or that it cannot be reproduced and the related bugs get closed with no fix. Over time, the failures continue, sometimes mutating and sometimes multiplying. While not prioritized by developers, these intermittent failures are often felt acutely while testing and will ultimately be painful for customers. These bugs are fixable if you take the correct approach.
These are the techniques I will demonstrate to overcome this problem:
- How to change the language used to report and discuss bugs.
- How to refocus the testing effort to tease out details of the failures
- How to apply visualization techniques to clearly demonstrate the impact of the issue and possible root causes.

GEORGE HAMBLEN - Sr QA Architect, Quality Consultant

CLOUD STICKER SHOCK: CONTAINING OUTRAGEOUS COSTS IN THE CLOUD AGE (SLASH COSTS WHILE MAINTAINING AGILITY)

The Public Cloud has been a major boon for innovation and agility for companies. Many companies that have rushed to the Cloud have been shocked with constant billing surprises resulting in budget overages during a brutal economic environment. Industry reports estimate that 30-50% of Cloud spend is wasteful and avoidable. In this presentation, the participant will learn why the Cloud operating model is fundamentally different from the data-center. This will be followed by an introduction to FinOps, a new and emerging discipline that enable companies to manage costs and govern their Cloud environment. FinOps use-cases will demonstrate how to save up to 40% of testing costs, reduce cost spikes and billing shocks.

ANAND SAHU - VP, QA Business Development and Customer Success, Cigniti Technologies, Inc

SYNTHETIC TEST DATA

Test Data has become the most critical part of the testing process. Surveys have shown that up to 40% of a projects time is spent in test data related issues. Early on data was created for testing purposes. As systems become more complex, the data needed to keep referential integrity for end to end purposes. The industry shifted from creating data to taking production data and masking it for testing. Synthetic data was put on the shelf. Now breakthroughs in Synthetic data have solved the problem of keeping referential integrity. Synthetic data also has the advantage of not touching production data, which helps secure your customers privacy. It’s time to give synthetic data another look. In this talk, I’ll cover the history of test data, highlight the advantages of a strong test data management process and how synthetic data is changing the testing game.

TREVOR CHANDLER - Private Researcher, Artificially Intelligent

USING ARTIFICIAL INTELLIGENCE WITH SELENIUM TO GENERATE AUTOMATION SCRIPTS

We will be looking at Artificial Intelligence in the context of how we can use it in QA to achieve our next set of advances in the global world of technology. With the capabilities currently achieved in Artificial Intelligence, their use in a software quality setting is above and beyond anything we've been able to do in the past. We are going to look at a real strategy to use AI as one of the tools in QA, and talk about other evolutions we stand on the edge of. In fact, the future for QA, once it adopts the newer capabilities of AI and other related technologies, will be a driving force and no longer live just on the side of quality. Instead, we will become world leaders, in our roles, that will start to include solving problems, not just dealing with quality and efficiency.Learn why and how this will happen, and how you can help advance us to our destiny as a charging force forward into problem-solving and efficiency for all aspects of software and hardware in the global world of technology.

DINESH RAISINGHANI - Principal Consultant, Capco

IS YOUR AUTOMATION INTELLIGENT ENOUGH TO ADDRESS UAT REQUIREMENTS?

Even though Test Automation has been around for many years now, the adoption rate is still on the lower end of the spectrum. That’s primarily because whenever firms discuss Test Automation, the focus is primarily on Test Execution and its well-known pitfalls like high up-front cost, reduced ROI, maintenance issues, etc. And hence the business doesn’t see the value in investing in automation. But with technology advancements, Test automation needs to be approached with a different mindset. I would be discussing ways to successfully automate UAT with the help of Model-based testing and how can businesses derive maximum value out of it. I would also be talking about how the adoption of RPA (Robotic Process Automation) can be used to automate UAT, especially for RTB (Run The Bank) applications. Finally, we would highlight risks that the firms should be aware of and ways to mitigate them.

DIANA OKS - Automation engineer, Vulcan cyber

TESTING TODAY’S APPLICATION – TEST AUTOMATION TOOLS YOU CAN USE

I would like to talk about the reason I chose to work with a new testing tool instead of writing a new automation framework at my current place of work. I chose to work with Testim.io which is an app that allows you to create UI tests by recording the actions. I've had the opportunity to work as part of a dedicated automation team, part of an R&D scrum, and even as half of the automation team in a start-up. The one thing in common to all of them, that we had to write the framework and the tests as well. Creating the right framework is as important as the tests, sometimes even more because good choices make writing tests easier. While test plans are relevant to the product you work on, the framework need other requirements to take into consideration.
You need to choose the language, what reporter you want to work with, and so on. But you also need to think about the 'who'.
Who is going to maintain this framework? Are the people that responsible for the framework are also responsible for the tests? sometimes they are and sometimes they're not.
After I got my current job I was told that they have this Testim.io tool and it's up to me to decide whether I choose to work with them or choose to write a new framework, but also I should know that they have several tests but not very reliable and basically, everybody ignores them. Since this company, was already two years old by the time I came that meant that there was a lot of work that needed to be done.

MHAHESH MURALEEDHARA - Test Architect, UST Global

AI-ENABLED QUALITY ENGINEERING

Artificial intelligence introduces new opportunities for software testing allowing quality engineers to optimize their efforts with greater speed than was possible before. Traditional quality engineering approaches cannot address the full spectrum of behaviors and performance that AI-driven testing can support. Applying AI across the various phases of the quality engineering life cycle saves effort, improves accuracy and reduces cycle time.
In this webinar, we will look to explore how to select, implement, and reap benefits by leveraging Artificial intelligence to improve quality engineering. 

SANJAY KUMAR -Founder and Creator, SelectorsHub

INNOVATE TO GET RID OF ROUTINE WORK!!

In web automation we waste almost 60-80% of our time on writing locators, but we are still creating them using Chrome DevTools or some tools, which is like writing code in Notepad in 2020 while there are so many intelligent editors available. In this session, we will learn how we can reduce the percentage of our time spent on writing locators to 4-5% and how we should think in order to develop innovations that are based on our daily problems.

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