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Perl 37.80% Python 21.13% Shell 8.93% Smalltalk 2.58% Emacs Lisp 23.27% JavaScript 1.14% NewLisp 2.16% Ruby 2.25% Slash 0.49% SystemVerilog 0.25%

simple-nngen's Introduction

Simple-NNGen + Data

This repository contains the code and data for paper On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation (doi:10.1145/3387940.3391488)

nngen.py file at the root folder contains implementation of Simple-NNGen & EXC-NNGen.

The content of the files in "files/data" is described in the following table.

File Name Description
bleu_scores scores of each method for tests from each dataset
[x].test.msg messages generated by method [x] for tests from cleaned dataset
filtered-[x].msg messages generated by the algorithm or copied from source for filtered data
msg-word-count data for Figure 1 of paper. First line for training and second line for testing subset
nngen-avg-bleu-scores bleu scores for messages generated by nngen for each origin
number-of-messages-from-the-same-repo number of messages each algorithm selects from the same repo
[other/same/unknown]_repo.msg nngen.test.msg & test.msg data divided due to the origin
[test/train].[diff/msg] copied from the cleaned dataset
scores_per_origins scores for messages selected by NNGen from each origin
[x].projectIds repo_id for each message in [x]
repo-id-to-github.txt maps repo_id to github repository

simple-nngen's People

Contributors

khaes-kth avatar maxscha avatar monperrus avatar

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