Understanding COBOL Systems using Inferred Types

@inproceedings{Deursen1999UnderstandingCS,
  title={Understanding COBOL Systems using Inferred Types},
  author={Arie van Deursen and Leon Moonen},
  booktitle={IWPC},
  year={1999}
}
In a typical COBOL program, the data division consists of 50% of the lines of code. Automatic type inference can help to understand the large collections of variable declarations contained therein, showing how variables are related based on their actual usage. The most problematic aspect of type inference is pollution, the phenomenon that types become too large, and contain variables that intuitively should not belong to the same type. The aim of the paper is to provide empirical evidence for… CONTINUE READING
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