SO_reputation

A script/RESTful API to compute an approximation of the reputation gained by a Stack Overflow user up to a given date.

The script can be tested online at this address (Be patient, it may take a few seconds). Furthermore, you can use it as a web service in your own app. Check the RESTful API documentation page for more.

NOTE: You will need to install Git LFS extension to check out this project. Once installed and initialized, simply run:

$ git lfs clone https://github.com/collab-uniba/SO_reputation.git

DISCLAIMER

The extracted reputation is only an estimate (with a ~10% error). The following rules are not considered:

Suggested edit is accepted: +2 (up to +1000 total per user)
Bounty awarded to your answer: + full bounty amount
One of your answers is awarded a bounty automatically: + half of the bounty amount (see more details about how bounties work)
Example you contributed to is voted up: +5
Proposed change is approved: +2
First time an answer that cites documentation you contributed to is upvoted: +5
You place a bounty on a question: - full bounty amount
One of your posts receives 6 spam or offensive flags: -100

Fair Use Policy

Please, cite the following works if you intend to use our tool for your own research:

F. Calefato, F. Lanubile, N. Novielli. “Moving to Stack Overflow: Best-Answer Prediction in Legacy Developer Forums.” In Proc. 10th Int’l Symposium on Empirical Softw. Eng. and Measurement (ESEM’16), Ciudad Real, Spain, Sept. 8-9, 2016, DOI:10.1145/2961111.2962585.

@inproceedings{Calefato_esem2016,
 author = {Calefato, Fabio and Lanubile, Filippo and Novielli, Nicole},
 title = {Moving to Stack Overflow: Best-Answer Prediction in Legacy Developer Forums},
 booktitle = {Proc. 10th ACM/IEEE Int'l Symposium on Empirical Software Engineering and Measurement}, 
 series = {ESEM '16},
 year = {2016},
 isbn = {978-1-4503-4427-2},
 location = {Ciudad Real, Spain},
 pages = {13:1--13:10},
 articleno = {13},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2961111.2962585},
 doi = {10.1145/2961111.2962585},
 publisher = {ACM},
}

F. Calefato, F. Lanubile, M.C. Marasciulo, N. Novielli. MSR Challenge: “Mining Successful Answers in Stack Overflow.” In Proc. 12th IEEE Working Conf. on Mining Software Repositories (MSR 2015), Florence, Italy, May 16-17, 2015.

@inproceedings{Calefato_msr2015,
 author = {Calefato, Fabio and Lanubile, Filippo and Marasciulo, Maria Concetta and Novielli, Nicole},
 title = {Mining Successful Answers in Stack Overflow},
 booktitle = {Proc. 12th Working Conf. on Mining Software Repositories},
 series = {MSR '15},
 year = {2015},
 isbn = {978-0-7695-5594-2},
 location = {Florence, Italy},
 pages = {430--433},
 numpages = {4},
 url = {http://dl.acm.org/citation.cfm?id=2820518.2820579},
 publisher = {IEEE Press},
}

DB Setup

If you want to run your script locally or deploy the web service on your own server, you need to setup a MySQL database. From this point forward, we assume that you have already imported the SO dump to a local MySQL db (there are several scripts that you can easily adapt to your purpose; see here and here, for example).

Requirements

Java 8+

Go to the scripts/db-setup/ folder and run in batch mode the sql script setup.sh:

$ sh setup.sh

NOTE: Before running, edit the first lines of the file to change the following information:

#!/bin/bash
MYSQL_USER=root
MYSQL_PASS=secret
MYSQL_SO_DB=stackoverflow
...

This script will create several table/views and indexes to speed up the querying process, plus some CSV files, named Question_Answer_?_(asc|desc).csv and Posts_Votes?_(asc|desc).csv. These CSV files are needed by the web service, therefore, whenever you create or update the SO database, you should copy/move them to the subfolder webservice/StackOverflowRESTfulWebService/WebContent/WEB-INF where you deployed the reputation web service.

How to Run

The scripts referenced in this section must be edited prior to execution, in order to customize the following variables:

MySQL username
MySQL password
SO database name

Script: Sequential version

Requirements

Python 3
- PyMySQL version 0.7.9

Usage

From comand line run:

$ python reputation.py

Script: Parallel Version

Need CSV files

Requirements

Java 8+
- Akka version 2.1.4
- OpenCSV version 3.9

Usage Akka-script

From comand line:

$ java -jar Akka-script-final.jar [UserId1] [date1] (...[UserIdN] [dateN]) -1

where:

UserIdX is an integer representing a user id
dateX is a string representing a date in the format YYYY-mm-dd

Test Akka-script

From comand line:

$ java -jar Akka-script-test.jar [n] [date].

where:

n is an integer representing the first n users in the dump
date is a string representing a date in the format YYYY-mm-dd

Web Service

API

Documentation is available here.

Requirements

Java 8
- OpenCSV version 3.9
- Jersey version 1.17.1
- Jackson version 1.9.10
Tomcat 8+