RAISA LIPATOVA – Performance QA Team Lead, RingCentral
REPLAY PRODUCTION LOGS AS A PROFILE FOR PERFORMANCE TEST
When we wanted to test our DB capacity we decided to try an approach of replay production logs as a load profile for the performance test. I will share what challenges faced, how we have solved them and what was the final result. Is it a working approach, is it worth using it?
IGOR GOLDSHMIDT – QA Team Leader, Moovit
DO YOU WANT TO KEEP EXCELLING AS A TOP-NOTCH TEST AUTOMATION ENGINEER IN THE FUTURE? ENHANCE YOUR TRANSFERABLE SKILLS FOR CONTINUED SUCCESS!
Every day and every time we want to be updated on what is happening in the testing world. New tools, new technology, new frameworks. Thank god, we got fewer new programming languages. But is it a really critical point of your success? Is it why you high-level professional engineer? Is it really important, that today you work with TypeScript, and tomorrow you need to move to Python? Experienced engineers can tell you – Nope. So what is really critical for you to be a success in so a dynamic world? he will tell you in his talk.
RAM NATHANIEL – Head of Algorithms & AI, Applitools
TESTING AN ADVERSARY – HOW TO TEST AN EVOLVING ALGORITHMIC CODE
Algorithms today are AI-based, adaptive, agile, and smart. When we test them, we give feedback to the developers that change the algorithm to overcome us! That means we have to be smarter and more aware so that we don’t get tricked!
ETHAN CHUNG – Manager, Solutions Engineering, Keysight Technologies
AUTOOPS: HARNESSING THE POWER OF AI-AUGMENTED TESTING WITH GENERATIVE AI
In the rapidly evolving landscape of software development, Continuous Integration and Continuous Deployment (CI/CD) have emerged as pivotal methodologies for delivering high-quality software at an accelerated pace. To ensure the reliability and robustness of software releases in such an environment, the marriage of cutting-edge technologies becomes imperative. Incorporating Generative AI into business process automation seemed daunting just a few years ago. However, the availability and popularization of OpenAI / ChatGPT and other AI/ML technologies have made it a closer reality, and now it has become a priority for most SDLC teams. Jonathan will talk about the different applications of Generative AI in the Software Delivery world, and the best part is that you don’t have to be an expert in AI to attend. Join him to learn how to implement some of the good practices he will share. The future of software development is here, and you can be a part of it!
MICHAEL BAR SINAI – CTO, Provengo
HYPER AUTOMATION WITH MEASURABLE FUNCTIONAL COVERAGE THROUGH MODEL-BASED TESTING
Model-Based Testing (MBT) is an advanced testing technique that combines traditional programming and AI tools. It enables easy and fast generation of test scripts (both manual and automation) and drastically reduces the effort required for their maintenance. In addition, it enables the automatic generation of test suites that are optimized for functional feature coverage, can make the specification itself accessible through visual means, and even find errors in them – before the system under test has been written.
