Acceptance tests for FauxPy to ensure no regression bugs
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Updated
Aug 1, 2024 - Shell
Acceptance tests for FauxPy to ensure no regression bugs
Companion repository for a proposal to improve Spectrum based Fault Localization for model transformations using static information
Fault localization service to track errors in large codebases
Average Performance Based Fault Localization and Test Suit Optimization System
Fault localization tools: implementaion and evaluation
Variability Fault Localization: A Benchmark
An automated fault localization tool for Python programs.
A collection of self-implemented Fault Localization tools
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.
Better Debugging: Combining Static Analysis and LLMs for Explainable Crashing Fault Localization
Feature reduction of multivariate time series data for fault localization in Python
BARINEL algorithm - “Spectrum-Based Multiple Fault Localization” with Fuzzy logic
Automated test case purification for improving fault localization
Automated fault localization by combining the strength of the SBFL and statistical debugging.
Find what's causing a test suite to fail with tarantula fault localisation.
A Fault Localization engine that can pinpoint bugs in given Python script
Implementation of the tarantula fault localisation algorithm
A program repair tool which modifies any bugged Python script based on cues from rest of program.
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