RealTime Defects Categorization using ML/AI
Speaker of TestIstanbul 2024
AI is significantly transforming the field of software testing, offering new tools and methodologies to enhance the efficiency, accuracy, and scope of testing activities. Triaging defects, determining their root causes, prioritizing them, and assigning them to the appropriate technical team is a time-consuming process that can be automated for real time action using AI.
Urgent production incidents occur, often critical and requiring swift intervention. QA must first carefully analyze the issue, putting in a significant amount of manual effort to pinpoint the root cause, assign the correct priority, and determine if it’s a defect, an enhancement, or a task.
I am introducing an ML/AI solution that utilizes Image Classification with TensorFlow and Keras, along with Natural Language Processing (NLP), to automatically categorize production issues. This approach significantly reduces the manual efforts required by QA, allowing for a quicker initiation of issue resolution for business users. Additionally, I will present how AI can be used to generate testing KPIs and metrics, which can be leveraged by business leaders and senior management for strategic planning and decision-making.
About Gaurav Mittal
Gaurav Mittal is a seasoned IT Manager with 15+ years of leadership experience, adept at guiding teams in developing and deploying cutting-edge technology solutions. Specializing in strategic IT planning, budget management, and project execution, he excels in AWS Cloud, security protocols, and container technologies. Gaurav is skilled in Java, Python, Node.js, and CI/CD pipelines, with a robust background in database management (Aurora, Redshift, DynamoDB). His achievements include substantial cost savings through innovative solutions and enhancing operational efficiency. Gaurav is recognized for his leadership, problem-solving abilities, and commitment to delivering exceptional IT services aligned with organizational goals.
