Register: Online at our KWality Talk Page, the attendance link will be included in an email the day of the event.
Location: Online. Please ensure that your onscreen name matches your registration name.
Time: The meeting starts between 11:55 am and 12:00 pm, a waiting room might be enabled if you arrive prior to this time. Meeting ends at approximately 1:00 pm.
Speaker: Jigesh Shah and Mradul Kapoor
Topic: Elevate your GenAI driven Testing with long term memory using vector database
In today’s world, creation of Test Cases and Automation Test Scripts using tools likeChatGPT or AWS Bedrock has become commonplace. However, these efforts often stay within the immediate context of the testing session or the specific area of the application that is shared during the conversation. For instance, when providing details about a User Story, the generated test cases are typically specific to the given content. Imagine extending this capability to generate test cases\automation scripts based not only on current information but also leveraging past releases data and other interconnected areas that may be directly impacted. This is where the integration of Vector Database with GenAI APIs comes into play. This integration not only facilitates the generation of contextually rich test cases\scripts but also enables the storage of data for training and storing in the database for future use. This presentation aims to provide insights into leveraging GenAI APIs with Vector Database to generate both component as well as End-to-End test cases based on provided User Story details and past learnings. It will demonstrate how the integration establishes context through User Story to Test Case Mapping, resulting in the generation of comprehensive End-to-End Test Cases. Beyond functional test cases, the presentation will deep dive into the generation of comprehensive automation scripts using these test cases. It will also showcase how you can customize the generation of automation script as per your automation framework with vector embeddings.
Bio:
Jigesh Shah is an Engineering Manager specializing in Quality Assurance, with extensive experience in the eLearning and Healthcare industries. He has developed numerous reusable testing tools, frameworks, and templates, significantly enhancing testing efficiency. Currently, he provides innovative testing solutions that improve quality for both US and global clients. Jigesh has played a pivotal role in test advisory, management, planning, and execution, and has led offshore testing efforts. His expertise also extends to Performance Engineering, SQL optimization, system resource monitoring, and the implementation of Generative AI technologies in testing processes, achieving a 20% increase in overall efficiency.
Mradul Kapoor is a QA leader who He specializes in fast-paced, large-scale implementations with low- and no-code platforms and QA delivery. He leads the overall quality assurance (QA) for client’s deliverables including setting up a large-scale testing practice and Testing Center of Excellence (TCoE) to achieve optimum quality standards across various pillars of quality per business specifications, agreed timelines, and effective cost. He is experienced in setting up and managing large-scale TCoE across the shore with the latest QA technology stacks for Fortune 500 firms, as well as startups. Mradul has strong hands-on experience in test team management, and has demonstrated skills across all test levels, including specialist testing such as automation, performance, and accessibility testing.