Introduction

Imagine you’re a translator fluent in English, but you’ve been tasked with converting a complex legal document written in ancient Latin into modern legal jargon that still retains the original intent. That’s the challenge we face when moving COBOL to modern languages. It’s not just about changing syntax; it’s about preserving the business logic that has been meticulously crafted and refined over decades.

This chapter is your Rosetta Stone for translating legacy COBOL code to the cloud. We’ll explore how to map COBOL structures to object-oriented paradigms, tackle data migration challenges, weigh automated versus manual translation approaches, avoid creating ‘JaBOL’ (Java code that looks like COBOL), and implement robust testing strategies. By the end, you’ll have a clear roadmap for transforming your legacy code into a modern, cloud-ready application while preserving its valuable business logic.

Mapping COBOL Structures to Object-Oriented Paradigms

This section explains how to translate COBOL’s structured data and procedures into object-oriented constructs in languages like Java, C#, or Python. We’ll cover representing COBOL data as classes, COBOL verbs as methods, and handling COBOL-specific data types. Refer to Chapter 2 for a refresher on COBOL Divisions and PIC clauses.

From COBOL Data Division to Modern Class Definitions

The COBOL Data Division defines data structures through sections like WORKING-STORAGE (for variables), FILE SECTION (for external files), and LINKAGE SECTION (for data passed between programs).

COBOL data types (PIC clauses) map to corresponding Java data types:

COBOL Customer Record

01  CUSTOMER-RECORD.
    05  CUSTOMER-ID   PIC X(10).
    05  CUSTOMER-NAME PIC X(30).
    05  BALANCE       PIC 9(7)V99.

This COBOL record translates into a Java class with Lombok to reduce boilerplate:

Java Customer Class

import java.math.BigDecimal;import lombok.Getter;import lombok.Setter;@Getter@Setterpublic class Customer {    private String customerId;    private String customerName;    private BigDecimal balance;    public Customer(String customerId, String customerName,
            BigDecimal balance) {        this.customerId = customerId;        this.customerName = customerName;        this.balance = balance;    }}

In Python, we can use data classes:

Python Customer Class

from dataclasses import dataclass
from decimal import Decimal
@dataclassclass Customer:
    customer_id: str    customer_name: str    balance: Decimal
    # No need for explicit getters and setters in Python

Python’s Decimal type ensures accurate handling of decimal values, while the @dataclass decorator generates boilerplate code automatically.

Translating COBOL Verbs to Object-Oriented Methods