ELLIOT SPARKS - SDM, Amazon
EMPOWER MANUAL TESTERS: CREATE CUSTOM GPT WITH RAG FOR KEEPING TRACK OF YET UNTESTED AREAS OF THE BUILD
As QA Lead, did you have a situation when you know that not all areas of the build have been tested yet, but you just cannot quickly identify where test efforts have'n't been yet deployed? Maybe some of the QA contractors finished the assigned areas and asking where they should dive next? How to avoid assigning for manual testing areas that rarely see new issues, especially when little changes have been made by developers in that part of the code? Build a chatbot that has all up-to-date information on the changed areas as well as already reported hotspots of bugs to optimize costly manual QA effort deployment!
SUMALATHA DHANIREDDY - Performance Test Lead, GlobalLogic
AI POWERED PERFORMANCE TESTING
Performance testing ensures that software applications are able to handle expected loads and perform at their best under various conditions. Despite their effectiveness, traditional performance testing methods often involve significant manual effort and cannot keep up with the complexity of modern software systems. AI offers promising solutions for these challenges, making performance testing more efficient, accurate, and adaptive.
ABILASH RAGHURAM - Founder, Mutahunter.ai
HOW MUTATION TESTING CAN BE ENHANCED WITH LLMS
Talk will be based on how we can make use of LLMs to enhance classical software mutation testing to find code vulnerabilities
DEEP BAROT - CEO, contextqa
QUALITY ANALYSIS FROM PRODUCT USAGE ANALYTICS
How product usage analytics can be used to create knowledge graph and solve customer churning issue?
NISHADHI NIKALANDAWATTE - Sr. Principal, Slalom
MASTERING QUALITY ENGINEERING IN THE AGE OF AI
AI is transforming the software quality engineering industry by automating routine tasks and enabling smarter testing approaches. Its integration into software development has profoundly reshaped the field of Quality Engineering (QE). This presentation explores the evolving role of QE in the AI era, addressing the challenges, opportunities, and strategies for achieving excellence in AI-driven environments. By examining the intersection of AI and QE, it provides valuable insights into best practices for maintaining high-quality software and equips QE professionals with the knowledge to excel in an AI-dominated landscape.
PRIYAMVADA GOVIL - Senior manager, Quality Assurance, Amazon
INTEGRATING AUTOMATED TESTING INTO DEVOPS AND AGILE
This tech talk will explore the critical role of automated testing in modern DevOps and Agile environments. As software development cycles become increasingly rapid, the integration of automated testing is essential to maintain high-quality standards while accelerating delivery timelines. The session will cover the principles of test automation, the benefits of integrating automated testing into CI/CD pipelines, and the challenges and best practices for achieving seamless integration. Attendees will gain insights into the latest tools and frameworks that facilitate automated testing and how to align testing strategies with Agile methodologies to ensure continuous improvement and faster feedback loops.
