1 citations · 1 across the 4 of their papers we have counts for
5 papers
The Rise of Agentic Testing: Multi-Agent Systems for Robust Software Quality Assurance
Saba Naqvi, Mohammad Baqar, Nawaz Ali Mohammad
Software testing has progressed toward intelligent automation, yet current AI-based test generators still suffer from static, single-shot outputs that frequently produce invalid, r…
RAG4Tickets: AI-Powered Ticket Resolution via Retrieval-Augmented Generation on JIRA and GitHub Data
Mohammad Baqar
Modern software teams frequently encounter delays in resolving recurring or related issues due to fragmented knowledge scattered across JIRA tickets, developer discussions, and Git…
Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Saba Naqvi, Mohammad Baqar
Software testing remains critical for ensuring reliability, yet traditional approaches are slow, costly, and prone to gaps in coverage. This paper presents an AI-driven framework t…
Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Group Relative Policy Optimization (GRPO) has shown promise in discrete action spaces by eliminating value function dependencies through group-based advantage estimation. However,…
Self-Healing Software Systems: Lessons from Nature, Powered by AI
Mohammad Baqar, Rajat Khanda, Saba Naqvi
As modern software systems grow in complexity and scale, their ability to autonomously detect, diagnose, and recover from failures becomes increasingly vital. Drawing inspiration f…