11 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.SE2024
FauxPy: A Fault Localization Tool for Python
Mohammad Rezaalipour, Carlo A. Furia
This paper presents FauxPy, a fault localization tool for Python programs. FauxPy supports seven well-known fault localization techniques in four families: spectrum-based, mutation…
cs.SE2023★ 11 cited
An Empirical Study of Fault Localization in Python Programs
Mohammad Rezaalipour, Carlo A. Furia
Despite its massive popularity as a programming language, especially in novel domains like data science programs, there is comparatively little research about fault localization th…
cs.SE2021★ 4 cited
An Annotation-based Approach for Finding Bugs in Neural Network Programs
Mohammad Rezaalipour, Carlo A. Furia
As neural networks are increasingly included as core components of safety-critical systems, developing effective testing techniques specialized for them becomes crucial. The bulk o…