Part VII. Source Code Cross-Correlation
“We balance probabilities and choose the most likely. It is the scientific use of the imagination.”
—Sherlock Holmes in The Hound of the Baskervilles
Source code cross-correlation measures the amount of code in one file that appears as comments in another file and vice versa. When copying source code, programmers sometimes place the code in a new file and “comment out” the code in order to use the code as a guide for writing a similar function in the new file. This is often done for legitimate reasons, such as when a programmer wants to rewrite a function in a different programming language or requires a certain function but needs to make changes to it to enhance it or to integrate it into an existing ...
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