Barath Kumar
The 9th edition of the Global Testing Retreat 2024!
About Speaker
As a Program Manager at Cognizant, I leverage my award-winning experience in automation, software engineering, Artificial Intelligence, Machine Learning, and Data Science to deliver enterprise-level solutions across diverse industries. With over 12 years in program and project management, I excel in planning and managing automation through artificial intelligence and machine learning, development, and deployment projects, engaging stakeholders throughout the project lifecycle. I lead onshore and offshore teams, establish new organizations, and promote an environment of inclusion, ownership, and performance optimization.
More Speakers
Code and Order: The AI Inspector’s Role in Software Justice” introduces the AI Inspector, a digital guardian in the software testing landscape. This white paper explores the AI Inspector’s capabilities in detecting coding infractions, ensuring software quality, and implementing safety measures. Detecting Digital Misdemeanors: The AI Inspector utilizes machine learning to identify code anomalies, acting as a detective to uncover errors. Ensuring Algorithmic Justice: Once issues are detected, the AI Inspector categorizes them, suggests fixes, and maintains a balance between quality and functionality, upholding the highest software standards. Prescribing Preventative Measures: The AI Inspector also forecasts risks, advising on strategies to protect software against future vulnerabilities, thereby enhancing digital security. This document narrates the AI Inspector’s mission to safeguard digital integrity, showcasing its role as an innovator and protector in the realm of software testing.
In the rapidly evolving landscape of software development, managing defects efficiently is paramount. This paper introduces the AI Defect Manager, an innovative solution designed to revolutionize defect management.
Leveraging advanced AI algorithms, the AI Defect Manager automates the entire defect lifecycle, from detection to resolution. It seamlessly integrates with various team workflows, autonomously gathering status updates, creating and categorizing defects, and orchestrating defect triage meetings. Additionally, it enhances communication by sending timely status emails and chat notifications, ensuring all stakeholders are informed and aligned. By reducing manual intervention and streamlining processes, the AI Defect Manager not only accelerates defect resolution but also enhances overall software quality and team productivity. This paper explores the architecture, implementation, and benefits of the AI Defect Manager, highlighting its potential to transform defect management.
