I can’t wait for AI to give it to people as truth. We’ll know we have reached peak humanity when AI generated code starts including swear words to improve code quality.
I don’t care enough to read through the whole thing, but some cursory searching brought up a reddit thread where a commenter found the original thesis:
Strehmel, J. (2022). Is there a Correlation between the Use of Swearwords and Code Quality in Open Source Code? [Bachelor’s Thesis, Institute of Theoretical Informatics]. https://cme.h-its.org/exelixis/pubs/JanThesis.pdf
SoftWipe [30] is an open source tool and benchmark to assess, rate, and review scientific software written in C or C++ with respect to coding standard adherence. The coding standard adherence is assessed using a set of static and dynamic code analysers such as Lizard (https://github.com/terryyin/lizard) or the Clang address sanitiser (https://clang.llvm.org/). It returns a score between 0 (low adherence) and 10 (good adherence). In order to simplify our experimental setup, we excluded the compilation warnings, which require a difficult to automate compilation of the assessed software, from the analysis using the --exclude-compilation option.
I am curious how code quality is measured. Coverity metrics? Spelling errors? Bug reports? Sounds like bullshit.
it was bullshit, Until I posted it. once I posted it, it automatically became true.
I can’t wait for AI to give it to people as truth. We’ll know we have reached peak humanity when AI generated code starts including swear words to improve code quality.
I don’t care enough to read through the whole thing, but some cursory searching brought up a reddit thread where a commenter found the original thesis:
If that means anything to you.
The distribution on the right looks all sorts of fucked up. Don’t even tell us the median value of this “quality” measure.