On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools
Aurora Papotti,
Ranindya Paramitha,
Fabio Massacci
Abstract:Objective
We investigated whether (possibly wrong) security patches suggested by Automated Program Repairs (APR) for real world projects are recognized by human reviewers. We also investigated whether knowing that a patch was produced by an allegedly specialized tool does change the decision of human reviewers.
Method
We perform an experiment with $$n= 72$$
n
=
7… Show more
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