Year: 2016
Type: preprint
Abstract: This paper introduces and explores the idea of data poisoning, a light-weight peer-architecture technique to inject faults into Python programs. This method requires very small modification to the original program, which facilitates evaluation of sensitivity of systems that are prototyped or modeled in Python. We propose different fault scenarios that can be injected to programs using data poisoning. We use Dijkstra's Self Stabilizing Ring Algorithm to illustrate the approach.
Source: arXiv (Cornell University)
Authors: Alipour, Mohammad Amin, Groce, Alex
Institution: Oregon State University
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2553074829