HEATH HOWE - Manager, QA Engineering, Sureify
A PICTURE'S WORTH A THOUSAND LINES OF CODE: SNAPSHOTS FOR FUNCTIONAL TESTING
I’ve always found writing UI automated tests to be fun, at least relative to writing other kinds of tests. However, I always struggle with just how much to test beyond the data itself…the font? the color? the size? the position? how many browsers? how many screen resolutions? Snapshot testing (aka Visual testing) doesn’t address all of these, but addresses a great many. At Sureify, working on a greenfield project, we had no existing UI tests and a couple of manual testers we were wanting to bring into test automation. This was a great opportunity to implement snapshot testing.
ANJALI SHINDE - Software Manager II - QA, Samsung Research America
MOBILE APPLICATION AUTOMATION TESTING
In this exploration of mobile application automated testing, we delve into unique challenges and opportunities that arise when ensuring the quality of mobile apps through automation.
From selecting the right testing tools and frameworks to adapting strategies for diverse platforms/OS, different testing coverage and devices, we'll uncover the intricacies of a successful mobile automated testing approach.
Join us as we discuss best practices, expanding automation coverage and finding solutions for challenging automation.
SCOTT GLASER - Senior Director - Software Engineering, Salesforce
IMPACTFUL DEFECT METRICS FOR PRODUCTIVITY
Defects are a key outcome of testing. Tracking and measuring defects can be done is many different ways to guide your testing effort. Using defect metrics effectively can improve the quality and productivity of your engineering team. Having these metrics keep you on target for your team goals and ultimately customer satisfaction.
YARON CHOMA - Test Automation Architect, Test Automation Silicon Valley
SETTING UP EFFECTIVE AND SCALABLE TEST AUTOMATION SOLUTIONS
Tests must be reliable! (If not, they will waste many hours a day checking test results and debugging if the bugs in the test or the product)
CI/CD reporting must be clear for test case coverage, automation coverage, test results, and trends.
In the conversation, you will learn the best practices to
- support many environments
- Build a good file structure
- How to arrange your folders and python packages
- Use utils to manage testbeds - which utils are consistent for many companies?
- Have integration with a test management platform
- Support great reporting
- Support easy debugging
Examples of how to build such a framework using Python/Pytest/Playwright/Testrail/Jenkins/Slack
DILRUBA MALIK - Senior SQA Manager, Palo Alto Networks
DIGITAL TRANSFORMATION IN QUALITY ASSURANCE – FOLLOWING THE CHANGE IN QA
The future of QA is likely to be shaped by a combination of technology advancements, changing customer expectations, and evolving development practices. Successful QA teams will need to be agile, adaptable, and able to embrace new technologies and ways of working.
The future of QA is full of opportunities for those who are skilled in these areas. QA professionals who are able to adapt to the changing landscape of software development will be in high demand.
RAJESH PRADHAN - Principal QA Engineer, Ruckus Commscope
TEST AUTOMATION USING LARGE LANGUAGE MODELS
Use LLM (Large Language Model) to write automated test cases from HLD (High Level Design) or Functional Spec.
SATYAPAL GUDURU - DevOps/SRE Manager, USBank
ENHANCING DEVOPS TESTING: AI/ML STRATEGIES FOR EFFECTIVE CONTINUOUS DELIVERY AND CLOUD-NATIVE SUCCESS
In the dynamic DevOps landscape, effective testing is crucial for maintaining stability and performance with frequent releases. This presentation explores how AI and ML can revolutionize DevOps testing, moving from traditional methods to advanced, data-driven strategies. We’ll focus on integrating AI/ML for continuous testing and anomaly detection, ensuring swift identification and resolution of issues.
Additionally, we’ll discuss how modern cloud-native environments, such as Kubernetes, benefit from innovative testing approaches and tools like Application Performance Monitoring (APM), Real User Monitoring (RUM), and synthetic testing. Learn how these AI/ML-driven strategies can enhance continuous delivery, improve stability, and drive operational success in DevOps.
VILAS VEERARAGHAVAN - VP Engineering, GenAI startup advisor
GROWTH WITHOUT THE GUESSWORK: MASTERING LOAD TESTING FOR CLOUD SAVINGS
Effective performance and load testing in early stages is crucial for controlling cloud costs. Learn how strategic load testing can reshape your deployment approach and expenses, drawing on insights from Netflix and Walmart. Discover heuristic-driven scaling policies for sustainable growth, with real-world examples and practical tips to optimize performance and reduce cloud spending across various deployment models. Explore tools and best practices to confidently predict and manage growth, ensuring a cost-effective cloud strategy for cloud architects, developers, SREs, and business leaders alike.
