Fault localization service to track errors in large codebases
-
Updated
Apr 11, 2018 - HTML
Fault localization service to track errors in large codebases
A collection of self-implemented Fault Localization tools
Average Performance Based Fault Localization and Test Suit Optimization System
We propose an approach in which the developer interacts with the SBFL algorithm by giving feedback on the elements of the prioritized list. We exploit contextual knowledge of the user about the next item in the ranked list, with which larger code entities can be repositioned in their suspiciousness.
Fault localization tools: implementaion and evaluation
Variability Fault Localization: A Benchmark
Feature reduction of multivariate time series data for fault localization in Python
Implementation of the tarantula fault localisation algorithm
Companion repository for a proposal to improve Spectrum based Fault Localization for model transformations using static information
Automated test case purification for improving fault localization
A program repair tool which modifies any bugged Python script based on cues from rest of program.
Find what's causing a test suite to fail with tarantula fault localisation.
BARINEL algorithm - “Spectrum-Based Multiple Fault Localization” with Fuzzy logic
Locating Framework-specific Crashing Faults with Compact and Explainable Candidate Set
A Fault Localization engine that can pinpoint bugs in given Python script
Spectrum-based Fault Localization Engine
Automated fault localization by combining the strength of the SBFL and statistical debugging.
Experimental bed to study Linux faults
Add a description, image, and links to the fault-localization topic page so that developers can more easily learn about it.
To associate your repository with the fault-localization topic, visit your repo's landing page and select "manage topics."