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COBOL's enduring dominance
  • Oct 6, 2025

COBOL's enduring dominance

An estimated 220 billion to 800 billion lines of COBOL code remain in active use across global enterprises. Over 80% of organizations anticipate these systems will outlast their current workforce. COBOL Colleague transforms the workforce crisis into an opportunity by preserving the business intelligence embedded in your code—creating a permanent knowledge base that outlasts any individual developer.

Extracting and explaining business functions from COBOL
  • Aug 16, 2025

Extracting and explaining business functions from COBOL

Your COBOL systems support the most critical objectives of your business. Phase Change Software LLC's COBOL Colleague captures institutional knowledge automatically by slicing your code to reveal complete business functions—every derivation, condition, and dependency that influences each output field. Instead of spending months documenting systems, our AI extracts […]

The cognitive effort behind understanding code
  • May 28, 2025

The cognitive effort behind understanding code

“I still think that one of the finest tests of programming ability is to hand the programmer about 30 pages of code and see how quickly he can read through and understand it.” – Bill Gates Various research suggests that reading, editing, and navigating code encompasses significant cognitive effort beyond simply writing new code. And […]

How a novel approach to AI mitigates the need for comments in code
  • Oct 25, 2022

How a novel approach to AI mitigates the need for comments in code

Code comments are often difficult to understand, incomplete, out of date and untrustworthy to many developers, resulting in significant additional work and unintended business risks. Incorrect documentation results in time and money lost. Transitioning away from relying on developers to add and update comments in code and related documentation requires new methods and tools. Steve […]

How COBOL Code can benefit from machine learning insight
  • Oct 24, 2022

How COBOL Code can benefit from machine learning insight

Most dev tools are not yet capable of identifying the specific lines of code that need to be changed, and unearthing that information is hard cognitive work. While some tools can help improve productivity by suggesting what code to write, software developers still have to use their brains to add new features, fix bugs, implement […]