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How to Accelerate Your Software Migration by Up to 3x? Softacom’s Experience

Accelerate legacy modernization with Softacom’s AI-powered software migration tool

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Manual code migration can take months or even years. It comes with multiple complexities, as legacy code is often undocumented, which increases the risk of bugs during migration. Moreover, outdated libraries, deprecated components and incompatible APIs can make the process even more difficult.

Traditional migration methods require extensive manual effort and expertise in Delphi and .NET. Moreover, the specialists in old programming languages are becoming rare and more expensive. All these factors combined result in higher migration costs and unpredictable budgets. 

Yet, the longer your system runs on old code, the higher the risk of security breaches, costly maintenance, and missed opportunities to use modern technologies.  

With a deep understanding of these challenges, the Softacom team designed an AI-powered tool. It helps speed up migration and streamline the modernization of legacy applications. 

What is Softacom’s AI-Powered Software Migration Tool?

Softacom’s AI-powered code migration tool uses 20+ years of expertise in Delphi and .NET. It conducts a deep analysis of the software’s architecture to facilitate faster and safer migration. It provides the following:

  • Complete codebase inventory
  • Component structure mapping – visualizes the existing architecture
  • Unit classification and dependency graph
  • Migration effort estimation
  • Intelligent code transformation – preserves logic and optimizes structure, not just line-by-line conversion
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What are the Benefits of Migration with AI-Powered Tool from Softacom?

Here’s how our migration tool addresses the challenges of the migration process:

  • Accelerated Migration. AI automates up to 50% of code transformation, reducing migration timelines by up to 3x.
  • High Accuracy. The AI-powered tool for legacy app migration retains up to 90% of the code structure and logic, minimizing manual fixes.
  • Data Security and Compliance. It keeps your code within your infrastructure, mitigating risks of data leaks.
  • Cost Efficiency. AI automation reduces manual coding effort, lowering overall migration costs.
  • Seamless Integration. The AI-powered tool easily connects your app with modern databases, APIs, cloud services, and DevOps tools.
  • Future-Proofed Technology Stack. AI converts outdated applications to contemporary Delphi and C#/.NET solutions.

At Softacom, we combine AI-driven software with manual migration. Our migration tool helps us handle repetitive tasks. But our experts manage complex logic, edge cases, and architectural refinements. 

How Does It Work?

Softacom’s AI-powered software migration tool uses advanced analytics techniques to accelerate migration. This is how it works: 

  • Static Code Analysis. A static code analysis engine parses codebases to detect dependencies and deprecated features. It flags compatibility issues with newer versions, whether it is Delphi or .NET. It also uses rule-based logic and Natural Language Processing (NLP) to understand code context.
  • AI Engine. The AI transformation engine recognizes patterns based on real migration projects. It suggests refactors such as replacing TDBGrid with FireMonkey components. It also applies rule-based fixes for common issues. Developers review suggestions for critical decisions and complex cases.
  • Automated Testing and Validation. 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 tool uses NLP, deep learning, computer vision, and predictive analytics. This is how:

  • Deep Learning analyzes code structure to identify complex Delphi patterns that standard tools often miss.
  • Natural Language Processing (NLP) interprets comments and variable names to preserve business logic when migrating to .NET.

For example:

Delphi code (original)

123
// Apply 10% discount for "Gold" customers (Policy 2021-5A)
if CustomerType = 'Gold' then
Total := Total * 0.9

C# code (migrated)

123
// NLP detects "Gold" and "Policy 2021-5A" to retain discount logic
if (customerType == "Gold")
total *= 0.9m; // Policy 2021-5A: 10% Gold customer discount
  • Predictive Analytics identifies high-risk areas, detecting 500+ potential errors per 1 million lines of code. This saves up to $75,000 by addressing vulnerabilities before they escalate.
    Predictive analysis detects null risks like sourceAccount/targetAccount and race conditions like SaveToDatabase().  On average, the tool estimates ~12 null refs and ~8 race conditions per 10K lines. Fixing costs around $50/error. The cost might grow to $1,500/error in post-production.
  • Computer Vision streamlines UI migration. It automatically converts VCL Delphi forms into modern FireMonkey (FMX) Delphi forms or .NET forms like WinForms and WPF.

For example:

Delphi VCL original

1234567891011121314151617181920
object LoginForm: TLoginForm
object lblUsername: TLabel
Caption = 'Username:'
Left = 24
Top = 32
Font.Color = clNavy
end
object edtUsername: TEdit
Left = 24
Top = 56
Width = 200
end
object btnLogin: TButton
Caption = 'Login'
Left = 24
Top = 100
Width = 75
OnClick = btnLoginClick
end
end

FireMonkey (FMX) output

1234567891011121314151617181920
object LoginForm: TLoginForm
object lblUsername: TLabel
Text = 'Username:'
Position.X = 24.000000000000000000
Position.Y = 32.000000000000000000
TextSettings.FontColor = claNavy
end
object edtUsername: TEdit
Position.X = 24.000000000000000000
Position.Y = 56.000000000000000000
Size.Width = 200.000000000000000000
end
object btnLogin: TButton
Text = 'Login'
Position.X = 24.000000000000000000
Position.Y = 100.000000000000000000
Size.Width = 75.000000000000000000
OnClick = btnLoginClick
end
end
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Step-by-Step Migration Process with Softacom AI-Driven Tool

Migrating an application involves several stages. Here’s how we do that at Softacom:  

Step 1 – Code Analysis

Defining the source code paths in our tool. The tool scans these paths, identifies relevant project files, and filters out irrelevant ones. 

Step 2 – Structure Mapping and Dependency Analysis 

AI performs a detailed analysis of the project’s structure, categorizing files, forms, and unit types. 

Step 3 – Automated Code Conversion 

The AI engine translates the legacy code into the new selected language, IDE, or framework. It speeds up the conversion by automatically resolving common migration issues. 

Step 4 – Code Refinement and Optimization 

Softacom’s experts refine the code, optimize integrations, and enhance its performance to align with your business goals. 

Step 5 – Testing and Deployment 

The tool runs automated test cases to validate the migrated code. After that, we deploy it in your modern environment.

Frequently Asked Questions (FAQ)

Does the tool support my tech stack?

Our AI-powered migration tool is designed to work with Delphi and .NET frameworks. It also supports migration to modern databases, APIs, cloud services, and DevOps tools, ensuring comprehensive compatibility with your existing stack.

How is code quality ensured?

Each project undergoes a comprehensive testing and validation process. Automated migration reduces defects to fewer than 1 per 1,000 lines of code, achieving a 99.9% error-free outcome.

How automated is the process?

Our AI tool automates up to 50% of the migration process, covering code transformation, dependency mapping, and testing. However, our experts handle complex cases to ensure the migrated code meets business requirements.

Wondering if it will work for your project?
Let’s find out!
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  • 17+ years in legacy software modernization
  • AI Migration Tool:
    faster timelines, lower costs, better accuracy (99.9%)
  • 30–50% faster release cycles
  • 1–2 day estimate turnaround
  • Trusted by clients from USA, UK, Germany, etc.
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Thanks to Softacom's efforts, the solutions they delivered are already in use and have increased revenue streams.
  • Niels Thomassen
  • Microcom A/S
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