How Softacom Speeds Up Software Migration

Legacy systems come with a hidden cost: technical debt.
According to McKinsey research, it makes up 40% of the IT balance sheet. And 30% of CIOs say over 20% of their tech budget for new products goes to fixing it.

Systems written in old code are:

• Hard to maintain

• Expensive to scale

• Difficult to integrate with modern tech like cloud, APIs, and DevOps

Modernization unlocks better performance, scalability, and long-term ROI. But traditional migration methods? They’re slow, risky, and resource-heavy.

That’s why we built our AI-powered migration tool.

Here’s how it works:

1. A static code analysis engine parses .NET codebases to detect deprecated features. It flags compatibility gaps with modern .NET versions. It also identifies Windows-only dependencies that block cross-platform adoption. The tool uses Natural Language Processing (NLP) to understand code context, for example, to tell apart, say, DataSet used in UI from heavy SQL workflows in business logic.

2. The AI transformation engine recognizes patterns based on real migration projects. It suggests refactors like replacing HttpModule with middleware. Developers then review and refine AI suggestions in VS Code or Visual Studio. This is important for handling edge cases like COM interop.

3. After transformation, the tool validates the migrated code by generating automated test cases. It compares pre- and post-migration test results to catch regressions and ensure nothing breaks.

Our internal tests show ~50% of code can be migrated automatically, cutting manual effort.

More details on the AI migration tool and our approach at https://www.softacom.com/services/ai-tool/