cin-ufpe-msr2017

This page is used to share scripts to mining Travis Torrent repository.

• How to add script
• How to add other files
• Scripts Table
• Files Table

Adding Scripts

To add script you have to follow the sequence bellow:

• Write your script with respective path:

cin-ufpe-msr2017/scripts/{{PROGRAMING_LANGUAGE}}/{{SCRIPT_ID}}-script-{{SCRIPT_NAME}}/{{SCRIPT_FILE}}

cin-ufpe-msr2017
|- scripts
     |- programming-language
           |- id-script-script_name
                  |- script_file.extension

cin-ufpe-msr2017/scripts/java/01-script-example/Example.java

• After push your script you must update README.md with instructions with how to run and obtain results in the Scripts Table

Adding Other Files

To add files there's not scripts such as documents and others follow the sequence bellow:

• Create the directory tree like:

cin-ufpe-msr2017/{{DOCUMENT_TYPE}}/{{FILE_NAME}}

cin-ufpe-msr2017
     |- document-type
                  |- file-name.extension
                  
cin-ufpe-msr2017/results/output.txt

• After push your file you must update README.md with file description Files Table

Scripts Table

Name	Link	Description	How To
01-script-example	Example.java	Script only for example	To run this script first you have to compile java file javac Example.java and after that run the code: java Example arg1 arg2 arg3 and the result will be shown in console output
02-script-extract-new-file-with-custom-variable	msr-mysql.sql	Script to extract only desired variables in a new csv file	To run this script first you have to execute it with Mysql DB
03-script-create-csv-to-logist-regression	MsrMain.java	Script to exctract csv to be used in R run logistic regression. Some of variables are classified (1 or 0, based in metric used)	This script is very specific to our problem, probability it will not accept arguments
04-script-append-file	MsrMain.java	Script to append second file into the first	To run this script first you have to compile java file javac MsrMain.java and after that run the code: java Example filePath1 filePath2 file of the second argument will be appended into the first

Files Table

Name	Link	Description
output.txt	output.txt	Files showing result of example script
msr-final-5.csv	msr-final-5.csv	Files adapted to run logistic regression with R - Two samples together (5% used to categorize variables)
msr-final-1.csv	msr-final-1.csv	Files adapted to run logistic regression with R - Two samples together (1% used to categorize variables)
tr_status_PASSED-tr_tests_failed_TRUE-60947-mined-5.csv	BPTF-60947-5	File adapted to run logistic regression with R - Sample BPTF (5% used to categorize variables)
tr_status_PASSED-tr_tests_failed_TRUE-60947-mined-1.csv	BPTF-60947-1	File adapted to run logistic regression with R - Sample BPTF (1% used to categorize variables)
tr_status_FAILED-tr_tests_failed_TRUE-103350-mined-5.csv	BFTF-103350-5	File adapted to run logistic regression with R - Sample BFTF (5% used to categorize variables)
tr_status_FAILED-tr_tests_failed_TRUE-103350-mined-1.csv	BFTF-103350-1	File adapted to run logistic regression with R - Sample BFTF (1% used to categorize variables)
R Console - 5.txt	R Console - 5.txt	File with the console output of logist regression statistic tests for caracterized by 5%
R Console - 1.txt	R Console - 1.txt	File with the console output of logistic statistic tests for caracterized by 1%
NorTest - 5.txt	NorTest - 5.txt	File with the console output of Anderson-Darling's normality test for sample caracterized by 5%
NorTest - 1.txt	NorTest - 1.txt	File with the console output of Anderson-Darling's normality test for sample caracterized by 1%