h4iku Goto Github PK

bears-benchmark

An Extensible Java Bug Benchmark for Automatic Program Repair Studies

bug-localization

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files."

bugsphp

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

defects4j

A Database of Real Faults and an Experimental Infrastructure to Enable Controlled Experiments in Software Engineering Research

episodes

Keep track of which television show episodes you've seen!

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

h4iku.github.io

minesstubs

Hosts our tool for mining simple "stupid'' bugs (SStuBs).

ml4code.github.io

Website for "A Survey of Machine Learning for Big Code and Naturalness"

ml4se

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

plfa.github.io

Introduction to programming language theory in Agda

program-repair.github.io

Automated program repair bibliography, tools and benchmarks.

pytest-timeout

quixbugs

A multi-lingual program repair benchmark set based on the Quixey Challenge

repairsstubs

An attempt at detecting SStuBs using a pre-trained transformer and repairing them with a seq2seq model.

revision-letter

A LaTeX template for a journal revision letter (or cover letter)

spoon

Spoon is a metaprogramming library to analyze and transform Java source code (up to Java 15). :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.

spoon-visited

JavaParser: Visited book examples in Spoon.

stack-badges

Data and source code for the paper "Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites."

t5apr

Repository for the paper "T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble."

tag-recom

Data and source code of the paper "A Content-Based Model for Tag Recommendation in Software Information Sites."

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

type2-fuzzy

Python implementation for some Interval Type 2 Fuzzy Set (IT2 FS) concepts.