Join Laveena as she goes through a journey of discovering data science model testing and finding the following takeaways useful, not just for testing a data science model, but for day-to-day testing too.
Jupyter Notebooks are a popular and powerful tool used in data science that allows you to create and share documents that blend descriptive content with executable code. This blending of code and content can also be a powerful tool for empowering testers through automation.
Quality Leadership, Testing, and Governance Tactics that Make or Break Your Progressive Delivery System
More and more companies are using Progressive Delivery to get all types of changes – new features, configuration changes, bug fixes, and experiments – into production in a safer, faster, and most importantly, a sustainable way.
The objective of this presentation will be to make the audience aware of the challenges, as well as, what they can do on a day-to-day basis to avoid these issues. Manoj will be sharing various do’s and do not’s with the audience which can be implemented from day 1.
As QA you are expected to be knowledgeable on the different tools and methodologies used. Finding the root cause of issues, bringing fresh ideas and perspectives to the development team, design, and product owners while still ensuring that releases are sent out on time.
Webinar Recorded 09/09/20: This talk will answer why BDD is the right methodology and what does the process look like, in which Christine will share the preparation, major milestones, successes, and failures encountered along the way.
Software Craftsmanship is a practice of continuous development and helping others learn this craft. As the world is evolving towards the era of scripting language, Khyati will be sharing our experience of how we have grown as a team of all QA with programming language background to the niche typescript world contributor.
Bas will explore a model of happiness to show how tools can improve your life and show you what did not work and why, as well as best practices he has learned from the process.
When testing software, it is not uncommon to hear that one hundred percent coverage is unachievable. What happens, then when we are asked to do such a thing. If the software that is being tested is used in critical infrastructure (power systems, water, medical, banking, etc.) then an escaped bug is not a trivial thing.
Shopping for new tools is not unlike dating. You need to ask yourself the same questions: “What am I looking for?” “Do they fit in with the picture I have for my future?” “Will it get along with my friends colleagues?” On top of that, the testing tool landscape has changed so much in just the past few years. What expectations should you have? Where do you even go to “meet” these tools?
Since managing performance and assuring it is acceptable is not a trivial task neither just a matter of running load, the webinar will go through all of the possible routes an organization should become familiar to achieve great performance.
Have you ever wondered if you want/need/able to test in production? Is it even possible without bringing harm to your users? Does it bring any value?