Beratung vereinbaren
|
Beratung vereinbaren

How can legacy systems be modernized in a secure and predictable manner?

Portrait von Dennis Stolp, Partner Manager bei HMS
Dennis Stolp

Veröffentlicht am 30. Juli 2026

Modernize Legacy Systems with Greater Transparency, Control, and Predictability

Nearly every organization faces the same challenge: its software and data landscape has evolved over many years—or even decades—and now supports its most business-critical processes.

At the same time, the pressure to modernize continues to grow. Maintenance costs are increasing, institutional knowledge is disappearing, cloud initiatives require new architectures, and AI-driven development approaches place additional demands on software structure, documentation, and code quality.

Code2X is HMS's technology-driven approach to analyzing and modernizing existing software applications. It combines automated code analysis, AI-powered insights, and specialized modernization services.

The real challenge lies within the existing codebase: missing documentation, unknown dependencies, organically grown architectures, and risks that are difficult to estimate. These factors make modernization projects expensive and difficult to plan.

TL;DR

  • Successful legacy modernization starts with a structured analysis of existing applications, dependencies, and risks.
  • Simply translating code does not eliminate architectural weaknesses or outdated structures.
  • Code2X supports automated code analysis, knowledge extraction, and the evaluation of potential modernization strategies.
  • A Code2X Assessment provides a solid foundation for deciding between migration, refactoring, replacement, or complete redevelopment.
  • AI-ready software requires more than modern code—it also depends on transparent architectures, comprehensive documentation, governance, and well-defined development processes.

Why Analysis Is Essential Before Migration and Modernization

Every software migration or modernization project begins with two fundamental questions:

How is the current system structured, and what should the target architecture look like?

In most cases, there is no complete answer. Organizations often have only a partial understanding of their applications and components, how they interact, which parts are business-critical, and which are suitable for migration, refactoring, replacement, or retirement.

This knowledge is rarely fully documented. Critical information often resides with individual experts, outdated documentation, or has become inaccessible after key developers have left the organization.

As a result, project scope, costs, and risks become difficult to estimate.

How Automated Code Analysis Creates Transparency

Manually analyzing large codebases is time-consuming and heavily dependent on the knowledge of individual experts. Code2X automates this critical first step.

The platform analyzes existing applications and provides a reliable foundation for modernization by delivering:

  • Automated code analysis: Reveals software structures, patterns, and technical dependencies.
  • Complexity and risk analysis: Identifies critical components and potential bottlenecks.
  • Knowledge extraction: Generates technical descriptions and documentation from the existing code.
  • Modernization path assessment: Provides recommendations on which components should be migrated, refactored, rebuilt, replaced, or retired.

Through Code2X Assessments, we work with you to establish these foundations before significant investments are made. This creates a realistic understanding of your software landscape before modernization begins.

AI-Powered Migration Is More Than Code Translation

Many modernization approaches focus solely on translating code from one language to another, with modernization postponed until later.

Without a thorough analysis beforehand, this approach often transfers existing technical weaknesses into the new environment, creating additional remediation work later. Outdated architectures, dependencies, and quality issues can simply be carried forward and become even more expensive to resolve.

A modernized system should:

  • be understandable and maintainable for developers, operations teams, and business stakeholders,
  • support future changes and enhancements efficiently,
  • preserve existing business logic,
  • comply with security and governance requirements,
  • integrate smoothly into existing development and operational processes,
  • enable the adoption of AI-powered applications when needed.

Code2X supports organizations throughout this transition—from legacy code to a future-ready software foundation. AI-powered analysis and intelligent agent capabilities help teams understand code relationships, generate documentation, and prepare modernization activities in a structured and efficient manner.

Our Services: From Assessment to Migration

Depending on your starting point, Code2X supports either the initial assessment of your codebase or the structured execution of an already planned modernization initiative.

Our services range from assessments that analyze dependencies, effort, and risks to phased migration projects including target architecture design, testing, and quality gates.

Learn more about agent-based migration with Code2X:
Agent-Based Migration & Legacy Modernization

From Legacy Modernization to AI-Ready Software

Software development is undergoing a fundamental transformation. AI-powered development tools and software agents are creating entirely new possibilities. However, their output can only be effectively validated and governed when the underlying software is well-structured, documented, and transparent.

Legacy software therefore needs more than migration—it needs to become AI-ready.

Code2X combines four essential building blocks:

  • Automated code analysis
  • AI-powered analysis and documentation
  • Governance mechanisms
  • Agent-based workflows for selected modernization activities

Together, these capabilities provide organizations with the foundation to modernize their software landscape and continuously evolve it in the years ahead.

Conclusion: Analyze First, Modernize with Confidence

Successful modernization begins with a clear understanding of existing applications, their business logic, technical dependencies, and associated risks.

Rather than immediately migrating individual code components, organizations should first analyze their existing software landscape, prioritize modernization candidates, and define a sustainable target architecture.

A Code2X Assessment provides the insights and decision-making foundation needed to modernize with confidence.


Software migration involves transferring an existing application to a new platform, technology, or infrastructure—for example, from on-premises to the cloud or from SAS to Python. The goal is to make the existing functionality available in a new environment. Software modernization goes a step further. In addition to migration, it improves architecture, code quality, maintainability, and performance to make the application future-proof, efficient, and easier to extend.
A thorough code analysis provides transparency into the current state of the application. It identifies dependencies, technical debt, risks, complexity, and unused code. This allows for more realistic planning of effort and costs, enables the development of appropriate migration strategies, and helps avoid surprises down the road.
Code2X supports the analysis of a wide variety of legacy and modern applications. These include, among others, SAS, COBOL, PL/SQL, SQL, Java, C#, Python, R, and other common programming and scripting languages. Even complex, organically grown system landscapes involving multiple technologies can be analyzed.
A Code2X Assessment provides an objective basis for decision-making regarding the modernization of your software. This includes, among other things: Analysis of code quality and complexity Identification of dependencies and architectural structures Identification of technical debt and risks Estimation of the effort required for migration or modernization Recommendations for refactoring, migration, or new development Prioritization of modernization measures
Refactoring is appropriate when the business logic remains correct and, above all, when the goal is to improve maintainability, readability, or architecture. Building a new application often makes sense when the existing software is technically outdated, has a high level of technical debt, or when future requirements cannot be implemented cost-effectively with the existing architecture. An objective code analysis helps in making the right decision.
AI-ready software is designed to integrate efficiently with modern AI technologies. This includes a clean architecture, well-structured code, clearly defined interfaces, documented business logic, and high-quality code. “AI-ready” does not mean that an application already uses AI—rather, it means that it meets the technical requirements to integrate AI functions, agents, or automations quickly and securely.
Dennis Stolp
Produktmanager

Fragen zum Artikel?

Wir geben gerne Antworten.
Kontaktieren Sie uns
© 2024 – 2026 HMS Analytical Software
chevron-down