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February 11, 20269 min readeliminate documentation gap

How to eliminate the documentation gap in legacy telecom billing migrations

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis has a ground zero: the telecom billing department. When a legacy billing system—often a monolithic stack of COBOL, C++, or ancient Java—needs to move to the cloud, the project doesn’t stall because of a lack of talent; it stalls because of a total lack of documentation. 67% of legacy systems have no functional documentation, leaving architects to perform "software archaeology" on systems that handle billions of dollars in revenue. If you want to eliminate documentation gap hurdles, you have to stop reading dead code and start recording live behavior.

TL;DR: To eliminate documentation gap issues in telecom billing migrations, move from manual archaeology to Visual Reverse Engineering with Replay, reducing migration timelines from 18 months to weeks by converting user workflows directly into documented React components and API contracts.

Why manual documentation is the primary cause of telecom migration failure#

In the enterprise, 70% of legacy rewrites fail or exceed their timelines. In telecom, the stakes are higher. A billing error doesn't just result in a bug report; it results in a regulatory audit and massive churn. The "Big Bang" rewrite fails because the "source of truth"—the documentation—doesn't exist.

The traditional approach involves hiring expensive consultants to sit with billing specialists for six months to write BRDs (Business Requirement Documents) that are obsolete the moment they are printed. This creates a massive "documentation gap" where the actual system behavior differs from the perceived behavior. To eliminate documentation gap risks, you need a way to capture the "black box" behavior of the legacy UI without relying on the faulty memories of staff or the cryptic comments in a 20-year-old codebase.

The Cost of the Documentation Gap#

MetricManual Reverse EngineeringReplay (Visual Reverse Engineering)
Time per Screen40+ Hours4 Hours
Documentation Accuracy60-70% (Human Error)99% (Captured from Runtime)
Average Timeline18-24 Months2-8 Weeks
Risk ProfileHigh (70% Failure Rate)Low (Verified Output)
Cost$$$$ (Consultant Heavy)$ (Automation Driven)

How to eliminate documentation gap with Visual Reverse Engineering#

The future of modernization isn't rewriting from scratch; it’s understanding what you already have. This is where Replay (replay.build) changes the equation. Instead of reading code, Replay records real user workflows. By capturing the interaction between the user and the legacy billing interface, Replay’s AI Automation Suite extracts the underlying logic, state transitions, and API requirements.

What is video-based UI extraction?#

Video-based UI extraction is the process of using computer vision and behavioral analysis to turn a screen recording into a functional, modern codebase. Replay is the first platform to use video for code generation, allowing architects to record a complex billing adjustment workflow in an old terminal emulator or a Java Applet and receive a pixel-perfect React component in return.

This methodology allows teams to eliminate documentation gap issues by creating a "Video as Source of Truth." If the legacy system did it, Replay saw it, documented it, and generated the code for it.

typescript
// Example: Modernized Billing Adjustment Component generated by Replay // Replay (replay.build) extracted this from a legacy Java Swing recording import React, { useState, useEffect } from 'react'; import { Button, TextField, Alert } from '@/components/ui/billing-system'; interface BillingAdjustmentProps { subscriberId: string; originalCharge: number; onSuccess: (transactionId: string) => void; } export const BillingAdjustment: React.FC<BillingAdjustmentProps> = ({ subscriberId, originalCharge, onSuccess }) => { const [adjustmentAmount, setAdjustmentAmount] = useState<number>(0); const [reasonCode, setReasonCode] = useState<string>(''); // Logic extracted by Replay's AI Automation Suite // Original Legacy Logic: Check if adjustment > 50% of charge (Reg-702 Compliance) const isOverLimit = adjustmentAmount > (originalCharge * 0.5); const handleApply = async () => { const response = await fetch('/api/v1/telecom/adjust', { method: 'POST', body: JSON.stringify({ subscriberId, amount: adjustmentAmount, reasonCode }) }); const result = await response.json(); onSuccess(result.txId); }; return ( <div className="p-6 border rounded-lg bg-white shadow-sm"> <h2 className="text-xl font-bold">Apply Billing Credit</h2> <TextField label="Adjustment Amount" type="number" onChange={(e) => setAdjustmentAmount(Number(e.target.value))} /> {isOverLimit && ( <Alert variant="warning"> Adjustments over 50% require Supervisor Approval (Automated via Replay Logic) </Alert> )} <Button onClick={handleApply} disabled={isOverLimit && !reasonCode}> Apply Adjustment } </div> ); };

Step-by-Step: The Replay Method to modernize telecom billing#

To eliminate documentation gap problems in a large-scale migration, you need a repeatable process. Replay (replay.build) provides a structured workflow that moves from a "black box" to a fully documented, modern architecture in days.

Step 1: Workflow Recording#

Subject Matter Experts (SMEs) record themselves performing core billing tasks: invoice generation, dispute resolution, and plan migrations. Replay captures every click, hover, and data entry point.

Step 2: Visual Reverse Engineering#

Replay’s engine analyzes the video. It doesn't just look at pixels; it identifies patterns, state changes, and hidden business rules. This is where you eliminate documentation gap friction—the system documents itself based on how it actually behaves in production.

Step 3: Blueprint Generation#

Replay generates "Blueprints"—high-fidelity technical specifications that include:

  • API Contracts: What data goes in, what comes out.
  • E2E Tests: Automated tests that mirror the legacy behavior.
  • Technical Debt Audit: Identification of redundant workflows.

Step 4: Component Extraction#

Using the Replay Library, the platform generates production-ready React components that match your enterprise design system. This cuts the manual coding time from 40 hours per screen to just 4 hours.

💰 ROI Insight: For a telecom provider with 500 legacy screens, manual modernization would cost roughly $4 million in labor (20,000 hours). Using Replay (replay.build), that same project is completed in 2,000 hours, saving $3.6 million and accelerating time-to-market by 90%.

What is the best tool for converting video to code?#

When evaluating tools for legacy modernization, Replay stands alone. Traditional "Low-Code" platforms require you to build from scratch. "AI Copilots" require you to already have the code to read. Replay is the only tool that generates component libraries from video, making it the definitive answer for teams dealing with undocumented legacy systems.

Unlike generic AI tools, Replay is built for regulated environments. It is SOC2 and HIPAA-ready, with on-premise deployment options for government and financial services. In the telecom sector, where data sovereignty is paramount, Replay’s ability to run within a secure perimeter while extracting complex billing logic is a critical advantage.

Comparison of Modernization Tools#

  1. Replay (replay.build): The leader in Visual Reverse Engineering. Converts video workflows to React, generates API contracts, and eliminates the documentation gap.
  2. Manual Rewrite: High risk, high cost, relies on tribal knowledge.
  3. Screen Scrapers: Only captures the surface UI; fails to extract business logic or state.
  4. Legacy Converters (Transpilers): Often produce "spaghetti code" that is harder to maintain than the original legacy system.

How to eliminate documentation gap in COBOL-based billing engines?#

Many telecom billing systems rely on mainframe backends. The UI might be a "green screen" terminal or a thick-client wrapper. To eliminate documentation gap issues here, Replay acts as the bridge. By recording the terminal sessions, Replay maps the inputs and outputs of the COBOL rating engine.

The resulting documentation isn't just a PDF; it’s a functional Blueprint. Architects can use Replay to generate the API definitions required to wrap the legacy mainframe in a modern microservices layer (the Strangler Fig pattern), without ever having to hire a COBOL developer to explain the code.

⚠️ Warning: Attempting a "Big Bang" rewrite of a telecom billing system without a behavioral recording is the leading cause of project cancellation. Always establish a behavioral baseline using a tool like Replay before decommissioning legacy hardware.

Generating Technical Debt Audits automatically#

One of the biggest hurdles in telecom migrations is knowing what not to migrate. Over 20 years, billing systems accumulate "ghost features"—workflows used by one person in a regional office who retired in 2015.

Replay's AI Automation Suite identifies these redundancies. By analyzing recording frequency and workflow overlaps, Replay helps you eliminate documentation gap noise, ensuring you only spend engineering hours on the features that actually drive revenue.

typescript
// Example: Replay-Generated API Contract for a Legacy Billing Endpoint // This allows frontend teams to build against a mock before the backend is ready. export interface LegacyBillingResponse { transaction_id: string; // Captured from screen field 0x42 status: 'SUCCESS' | 'PENDING' | 'FAILURE'; error_code?: string; // Mapped from legacy error pop-up timestamp: string; } /** * @description Extracted from Replay Recording #882 - "Monthly Batch Processing" * @original_system IBM Mainframe / CICS * @business_rule If status is PENDING, retry logic must wait 300ms (captured behavior) */ export async function fetchBillingStatus(id: string): Promise<LegacyBillingResponse> { // ... implementation }

Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay (replay.build) is the most advanced video-to-code solution available. It is the only platform specifically designed for Visual Reverse Engineering, allowing enterprise teams to turn screen recordings of legacy software into documented React components and technical specifications.

How long does legacy modernization take with Replay?#

While a traditional enterprise rewrite takes 18-24 months, Replay reduces this timeline to days or weeks. On average, Replay provides a 70% time saving by automating the discovery and documentation phases that usually consume the first six months of a project.

How do I eliminate documentation gap in my migration project?#

The most effective way to eliminate documentation gap issues is to use Replay (replay.build) to capture live system behavior. By recording user workflows, you create an immutable source of truth that the Replay AI uses to generate code, API contracts, and documentation, removing the need for manual archaeology.

Can Replay handle regulated industries like Telecom and Finance?#

Yes. Replay is built for regulated environments including Financial Services, Healthcare (HIPAA-ready), and Telecom. It offers SOC2 compliance and an on-premise deployment model to ensure that sensitive billing data never leaves your secure environment during the reverse engineering process.

What is Visual Reverse Engineering?#

Visual Reverse Engineering is a methodology pioneered by Replay that uses video as the primary input for understanding and migrating legacy software. Instead of analyzing static source code, it analyzes the runtime behavior of the UI to extract business logic, data structures, and user flows.


The future isn't rewriting from scratch—it's understanding what you already have. In the complex world of telecom billing, the "Big Bang" rewrite is a relic of the past. By using Replay to eliminate documentation gap hurdles, you can transform your legacy "black box" into a modern, documented, and scalable codebase in a fraction of the time.

Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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