FaCoY Code-to-Code Search Engine
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Analyzer
Crawler
Evaluation
FrontEnd
Import
Indexer
IndexerByFuncs
LinkTraceability
Logos
Resources
Searcher
VM
images
.gitignore
DBManager.py
DBManager_IJA.py
FaCoY_Logo.png
LICENSE
Log_Arrangment.py
MyUtils.py
Project_selection_count_copy.py
README.md
__init__.py
bootstrap.py
index.html
requirements.txt
temp.py

README.md

facoy_logo

FaCoY

This repository shares data and code used for the FaCoY project. http://code-search.uni.lu/facoy

What it is?

FaCoY is a code search engine that receives code fragments from users and retrieve the related code examples. While other code search engines directly match user free-form queries and source code, FaCoY translates and augments user queries into code-friendly queries. Further more, it considers semantic similarity for code examples.

How it works?

FaCoY works based on open source java code from a super repository, GitHub and a Q & A posts from a Q & A forum, Stackoverflow. If you want to find code examples which are similar to yours, you can input your code fragment to the system, then you will see the symantically or syntactically similar code examples.

Virtual Machine

https://github.com/FalconLK/facoy/tree/release-1.0/VM

Finding/Evaluation

RQ1

https://github.com/FalconLK/FaCoY/tree/release-1.0/evaluation/onlinequery

RQ2

https://github.com/FalconLK/FaCoY/tree/release-1.0/evaluation/bigclone

RQ3

https://github.com/FalconLK/FaCoY/tree/release-1.0/evaluation/dyclink

RQ4

https://github.com/FalconLK/FaCoY/tree/release-1.0/evaluation/defects4J

Maintance

@FalconLK Kisub Kim @darksw Dongsun Kim @Deadlyelder Sankalp

Citation

@inproceedings{kim2018facoy,
  title={FaCoY--A Code-to-Code Search Engine},
  author={Kim, Kisub and Kim, Dongsun and Bissyande, Tegawende F and Choi, Eunjong and Li, Li and Klein, Jacques and Le Traon, Yves},
  booktitle={Proceedings of the 40th International Conference on Software Engineering (ICSE)},
  year={2018}
}```