A couple ideas that went nowhere

TL;DR: After noticing an annoying warning, I went on an absurd yak shave, and discovered that because of a tiny handful of Python packages built with an appealing-sounding but dangerous compiler option, more than 2,500 Python packages—some with more than a million downloads per month—could end up causing any program that uses them to compute...

As part of my ongoing attempts to create some nice datasets for training large code models for C/C++, I've recently been attempting to build every package in Debian Unstable from source using bear to log the compilation and generate a compile_commands.json database for each build. Since it's not possible, in general, to parse C/C++ code without...

Summary: recently published results on the LAVA-M synthetic bug dataset are exciting. However, I show that much simpler techniques can also do startlingly well on this dataset; we need to be cautious in our evaluations and not rely too much on getting a high score on a single benchmark. A New Record The LAVA synthetic bug corpora have been...

Every year the NYU School of Engineering hosts Cyber Security Awareness Week (CSAW) – the largest student-run security event in the country. This year, we're trying something new that combines two of my favorite things: security and open source. The inaugural Security: Open Source (SOS) workshop, held this November 10 at NYU Tandon will feature...

I'm planning a longer post discussing how we evaluated the LAVA bug injection system, but since we've gotten approval to release the test corpora I wanted to make them available right away. The corpora described in the paper, LAVA-1 and LAVA-M, can be downloaded here: http://panda.moyix.net/~moyix/lava_corpus.tar.xz (101M) Quoting from the...