Saby Saurabh Bhardwaj
The 9th edition of the Global Testing Retreat 2024!
About Speaker
Saby holds Leadership positions in Quality Engineering. He is a Blockchain Certified Architect, SAFe Program Consultant , Certified Scrum Master , Agile Scrum Trainer, with over 20+ years of IT exp. He is a seasoned player in Gen AI, AI/ML, DevOps, Testing/QA, Agile Test Automation, Cloud Testing, Test Environment Technologies. He has led large scale QA transformation project, and has successfully setup Green Field TCoE practices. He is a fitness freak and loves cyling long distance and trecking Himalayan Ranges in his free time.
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AI Driven BDD (feature file based) QA Platform integrated with JIRA to allow Product Owner to define Acceptance Criteria (no code) which auto-creates Test Cases/Test Suits for Continuous Test Automation
Why – Traditional test case creation is time-consuming and error-prone. Teams often struggle to maintain consistency between acceptance criteria and test cases. This gap can lead to missed defects and inefficiencies in the testing process. Also close to 40% effort can be saved by Test Design Automation.
How – We propose an innovative solution: an AI-driven Behaviour-Driven Development (BDD) platform coupled with JIRA. This platform allows Product Owners to define acceptance criteria in English language, without writing single line of code. The AI engine then automatically generates corresponding test cases and test suites and executes this thereby fully automating the STLC. In current setup, it is integrated with Continuous Deployment orchestrating tool like Harness/ADO/Jenkins for faster releases and minimise human intervention.
Key Benefits:
Efficiency: By automating test case creation, teams save valuable time and reduce human error.
Consistency: The AI ensures alignment between acceptance criteria and test cases, minimizing discrepancies.
Continuous Testing: With auto-generated test cases, continuous test automation becomes seamless.
Scalability: As projects grow, the AI adapts effortlessly, maintaining quality across the board.
In summary, our AI-driven BDD solution bridges the gap between JIRA acceptance criteria and test cases, streamlining testing processes and enhancing overall software quality.
