@inproceedings{ea9a5343fa7242fab67268e576886da5,
title = "Localizer: A Visual Debugging Assistant for Python Programs",
abstract = "We present the Localizer tool, which is targeted at assisting developers and testers in debugging their Python code. The tool combines program slicing and program spectra analysis to analyze the difference between the execution paths of the passing tests and of the failing tests, respectively. In addition, it suggests suspicious parts of the code where the fault can be potentially located. To assist the user in inspecting the code, the tool graphically presents the structure of the code as control flow graphs annotated with program spectra information. Preliminary studies show that the tool facilitates the identification of faults by reducing the complexity of the code analysis process.",
keywords = "Spectrum-based fault localization, dynamic analysis, program debugging, program slicing, program spectra",
author = "Shehroz Khan and Gaadha Sudheerbabu and Dragos Truscan and Tanwir Ahmad",
year = "2024",
month = sep,
day = "13",
doi = "10.1145/3678720.3685321",
language = "English",
isbn = "9798400711107",
series = "DEBT 2024 - Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques, Co-located with: ISSTA 2024",
publisher = "ACM",
pages = "34–35",
editor = "Boix, {Elisa Gonzalez} and Christophe Scholliers",
booktitle = "DEBT 2024 - Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques, Co-located with",
address = "United States",
note = "ACM International Workshop on Future Debugging Techniques ; Conference date: 19-09-2024",
}