Systems | Development | Analytics | API | Testing

Gone are the days when core banking teams relied solely on long-winded manual test cycles, midnight war rooms and crossed fingers before a go-live. Today, the industry stands at the edge of a seismic shift, driven by the power of test automation. Having worked extensively in the complex and highly regulated world of core banking systems, we’ve seen this transformation unfold firsthand.

Upgrading to SAP S/4HANA is more than a technology refresh—it’s a strategic business transformation. With its real-time data processing, simplified architecture, and enhanced user experience, SAP S/4HANA promises agility and innovation. But realising that promise requires more than just a successful migration—it demands a rock-solid Quality Assurance (QA) foundation.

We have all seen the frenzy of Devin AI—teams racing to spin up models, orchestrate data flows, and automate every possible touchpoint. But beyond the hype, two architectural patterns quietly power next-generation pipelines: Model Context Protocol (MCP) and Agent-to-Agent (A2A). Below is the roadmap for our deep dive into MCP (Model Context Protocol) and A2A (Agent-to-Agent).

As software systems get increasingly complex every day, the challenges of effective testing also escalate. Software testing involves handling large datasets, complex workflows, and shorter release cycles.

Earlier this year, SmartBear acquired QMetry, a move that’s more than just a strategic acquisition. This move reflects a deeper commitment to enterprise customers – helping teams: As Product leader of Test Management at SmartBear, I’ve had the opportunity to help define our roadmap. Our vision for QA teams is clear: empower them to deliver better quality and build confidence – and consistently hit release deadlines.

Software development has never been more dynamic. With rising complexity, fast deployment cycles, and remote collaboration, developers now rely heavily on powerful tools to streamline their workflows. From writing and testing code to deploying and managing applications, the right set of tools can significantly boost productivity. In 2025, the integration of AI into developer tools is transforming how software is built.

Automating QA testing helps ensure your website works flawlessly for every user, on every device, under every condition. From login flows to checkout carts, test automation gives teams the speed and confidence to ship frequently without breaking things. In this guide, you’ll learn what automated QA testing is, why it matters, which tests to automate, and how to build a reliable automated QA testing process from scratch.

Every organization, regardless of the size or industry, has AI Ambitions. While this is an exciting and revolutionary time, it’s also filled with uncertainty and risk. At Perforce, we see what customers are facing. Organizations need to develop a clear and focused AI strategy that articulates the vision and value that AI can provide to the business. Security and compliance need to remain front and center, and vendor trust is essential.