AI Agent for Test Case Creation From Jira Story скачать в хорошем качестве

AI Agent for Test Case Creation From Jira Story

You can reach out to us on LinkedIn 1. https://www.linkedin.com/in/dhiraj-singh-0... 2. https://www.linkedin.com/in/helloneerajkum... Revolutionizing Test Case Creation with AI 1. Introduction Presenter: Dheeraj Kumar Singh Background: 9 years of experience in Automation QA Purpose: Introduce an AI agent for generating test cases from Jira stories 2. Understanding Jira Stories Components of a Jira story: Summary Description Attachments (PDFs, images, Figma designs) Comments and discussions Manual process of test case creation: Analyzing the user story Reading comments for conclusions Time constraints in Agile methodology (1-3 weeks) 3. The AI Agent's Role Automates test case creation from Jira stories Increases productivity and efficiency Reduces time to market Facilitates collaboration with BA and automation teams for review and implementation 4. Technical Overview Development framework: Flask with Python Utilizes Azure Open AI model for processing User interface requirements: Email ID associated with Jira API token for authentication Domain name and project code input Functionality: Fetches Jira stories Analyzes comments and attachments Generates various test case scenarios (positive, negative, boundary, edge cases) 5. Demonstration of the AI Agent Live coding demonstration: Inputting user credentials and fetching stories Generating test cases based on the provided Jira story Displaying generated test cases and their categorization Explanation of the AI's capabilities: Understanding images and comments Generating test cases even with minimal information 6. Benefits of the AI Agent Enhanced productivity and efficiency in test case creation Streamlined communication with automation teams Ability to generate comprehensive test cases quickly Future potential for automation of test cases using generated outputs 7. Future Content Upcoming videos will focus on: Automation QA processes with and without AI Practical applications of the AI agent in automation testing Encouragement to subscribe for more insights and updates 8. Conclusion Call to action: Like, share, and subscribe Appreciation for audience engagement Anticipation for the next video focusing on automation QA activities 9. Closing Remarks Thank you message and farewell Reminder to stay tuned for more content on automation and AI integration in QA processes