Arpita Soni

Toward Adaptive, Context-Aware Software Quality Engineering: Lessons from Self-Healing Cloud Infrastructure and the Next Frontier in Enterprise Testing

Abstract:

Modern enterprise software delivery faces growing tension between release velocity and system reliability, as distributed, AI-augmented architectures outpace traditional, reactive quality assurance methods. This talk examines how AI-driven, context-aware approaches are reshaping enterprise software quality across two adjacent domains: autonomous infrastructure reliability and intelligent test optimization. Drawing on published research into self-healing cloud architectures — combining event-driven automation, multi-criteria decision models, and closed-loop recovery to autonomously detect and remediate infrastructure anomalies — this presentation explores how the same underlying principle extends to the software testing lifecycle. Enterprise QA teams face an analogous challenge to cloud reliability: not a shortage of test signals, but a shortage of context-sensitive prioritization amid growing complexity.

The session presents a framework for adaptive, context-weighted quality engineering, situates it as an active research direction, and touches on blockchain-based integrity verification for cloud-native deployments as a complementary dimension of trustworthy, autonomous software delivery.

Profile:

Arpita Soni is a Senior Project Manager and Strategic Transformation Lead at Infosys Limited, leading AI-enabled quality engineering and agentic AI initiatives for the U.S. Financial Services sector. With over 20 years of experience in technology delivery, quality engineering, and digital transformation for major financial institutions across the US, Europe, and UK, her work focuses on agentic AI systems, self-healing cloud infrastructure, and intelligent software quality engineering. She is a Fellow of the British Computer Society and a Senior Member of IEEE. Her research has been published in IEEE, Springer, and Elsevier venues. A native of Jabalpur, she is a named inventor on a pending U.S. and Indian patent application.