Real world projects, real faults: Evaluating spectrum based fault localization techniques on Python projects

Real world projects, real faults: Evaluating spectrum based fault localization techniques on Python projects

Spectrum Based Fault Localization (SBFL) is a statistical approach to identify faulty code within a program given a program spectra (i.e., records of program elements executed by passing and failing test cases). Several SBFL techniques have been proposed over the years, but most evaluations of those...

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Bibliographic Details
Main Authors: RATNADIRA WIDYASARI, PRANA, Gede Artha Azriadi, AGUS HARYONO, Stefanus, WANG, Shaowei, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Spectrum-based fault localization
Python
testing and debugging
empirical study
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/7321
https://ink.library.smu.edu.sg/context/sis_research/article/8324/viewcontent/RealWorldProblems_Faults_av.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7321
https://ink.library.smu.edu.sg/context/sis_research/article/8324/viewcontent/RealWorldProblems_Faults_av.pdf

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