Project description

SFLKit: A Workbench for Statistical Fault Localization

SFLKit (https://dl.acm.org/doi/10.1145/3540250.3558915) is an out-of-the-box library and tool for statistical fault localization. Statistical fault localization aims at detecting execution features that correlate with failures, such as whether individual lines are part of the execution.

Library

This project contains the library for SFLKit.

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.0.3

Jan 29, 2024

0.0.2

Oct 25, 2023

0.0.1

Jul 18, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sflkitlib-0.0.3.tar.gz (7.5 kB view hashes)

Uploaded Jan 29, 2024 Source

Built Distribution

sflkitlib-0.0.3-py3-none-any.whl (7.7 kB view hashes)

Uploaded Jan 29, 2024 Python 3

Hashes for sflkitlib-0.0.3.tar.gz

Hashes for sflkitlib-0.0.3.tar.gz
Algorithm	Hash digest
SHA256	`f2d7f890e6f6a75e1be7307a912f118a0ead9c295185cbf6a424cff7350f06f1`
MD5	`9e499d175b0d39365cdfa705265c9400`
BLAKE2b-256	`30def7f67ecdd7a4948975c6ac8ac54809340fd793f118ea8aea3443542b4a3f`

Hashes for sflkitlib-0.0.3-py3-none-any.whl

Hashes for sflkitlib-0.0.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`a4d8c4d4c8c346b3405557f27c6b55036c9ccb863057558158693584ebb383ac`
MD5	`76e049af6c25d001f72c1bc299852b33`
BLAKE2b-256	`82188a5aa00cc41c8eac40151317fb2cd45d2893fc2d8d8b01e61d67f610eba9`