Localizer: A Visual Debugging Assistant for Python Programs

Muhammad Shehroz Wali Khan; Gaadha Chariyarupadannayil Sudheerbabu; Dragos Truscan; Tanwir Ahmad

doi:10.1145/3678720.3685321

Localizer: A Visual Debugging Assistant for Python Programs

Muhammad Shehroz Wali Khan, Gaadha Chariyarupadannayil Sudheerbabu, Dragos Truscan, Tanwir Ahmad

Information Technology

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

2 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
Pages	34–35
ISBN (Print)	9798400711107
DOIs	https://doi.org/10.1145/3678720.3685321
Publication status	Published - 2024
MoE publication type	A4 Article in a conference publication

Publication series

Name	DEBT 2024
Publisher	Association for Computing Machinery

Keywords

Spectrum-based fault localization
dynamic analysis
program debugging
program slicing
program spectra

Access to Document

10.1145/3678720.3685321

DEBT24_2pageSubmitted manuscript, 1.6 MB

https://doi.org/10.1145/3678720.3685321

Cite this

@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 = "Khan, {Muhammad Shehroz Wali} and {Chariyarupadannayil Sudheerbabu}, Gaadha and Dragos Truscan and Tanwir Ahmad",

year = "2024",

doi = "10.1145/3678720.3685321",

language = "English",

isbn = "9798400711107",

series = "DEBT 2024",

publisher = "Association for Computing Machinery",

pages = "34–35",

booktitle = "Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques",

}

Localizer: A Visual Debugging Assistant for Python Programs. / Khan, Muhammad Shehroz Wali ; Chariyarupadannayil Sudheerbabu, Gaadha ; Truscan, Dragos et al.
Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques. New York, NY, USA: Association for Computing Machinery, 2024. p. 34–35 (DEBT 2024).

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Localizer: A Visual Debugging Assistant for Python Programs

AU - Khan, Muhammad Shehroz Wali

AU - Chariyarupadannayil Sudheerbabu, Gaadha

AU - Truscan, Dragos

AU - Ahmad, Tanwir

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Spectrum-based fault localization

KW - dynamic analysis

KW - program debugging

KW - program slicing

KW - program spectra

U2 - 10.1145/3678720.3685321

DO - 10.1145/3678720.3685321

M3 - Conference contribution

SN - 9798400711107

T3 - DEBT 2024

SP - 34

EP - 35

BT - Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques

PB - Association for Computing Machinery

CY - New York, NY, USA

ER -

Localizer: A Visual Debugging Assistant for Python Programs

Abstract

Publication series

Keywords

Access to Document

Fingerprint

Cite this