To properly execute all steps in order to evaluate the projects, do you will need:

• A recent version of Java JRE (preferable 1.8) installed
• A recent version of maven (preferable 3.6.0) installed
• A recent version of python (preferable 3.6.5) installed
  • pip install pymongo
  • pip install matplotlib
  • pip install pandas
  • pip install numpy
  • pip install scipy
• A recent version of MongoDB (preferable 4.0.9) installed
• At least 8GB of RAM

1. Import the project "exceptionhunter" in your preferred IDE. The br.ufal.easy.exceptionhunter.ExceptionHunterMain is the main class.
2. Import all dependencies using maven
3. In the folder src->main->resources open the file projects and configure the folder path (for your OS) where you desire to save the projects, mongoDB settings, and execution type (all tags or only the latest available).
   • e.g., "windowsProjectsRoot": "C:\projects\" or "unixLikeProjectsRoot": "/home/user/projects/";
   • if you set the "tryToExtractCoverage" to true, the tool will try to query coverage data from Codecov.io and Coveralls.io websites
4. Inside the projects array in the projects file, you will see the following structure:
   • The key "active" specifies if the current project should be evaluated or not. If you do not want to use the project, change the true to false
   • We use # instead of . (dot) in tags' name because of mongoDB restrictions.

	{
		"projectName": "ghidra",
		"gitRepo": "https://github.com/NationalSecurityAgency/ghidra", 
		"active": true,  
		"description": "Ghidra is a software reverse engineering (SRE) framework", 
		"stars": 17491, 
                "tryToExtractCoverage" : true,
		"sourceRoots": [
			"all"
		], 
		"tags": {
			"Ghidra_9#0#3_build": "01/05/2019 12:08:50", 
			"Ghidra_9#0#4_build": "16/05/2019 16:36:27", 
			"Ghidra_9#0#2_build": "03/04/2019 14:38:23", 
			"Ghidra_9#0#1_build": "26/03/2019 14:46:51"
		}, 
		"createdAt": "01/03/2019 00:27:48", 
		"lastUpdatedAt": "24/09/2019 16:52:23",
		"includedAt": "24/09/2019 19:25:05",
		"size": 107426, 
		"platform": "desktop/server",
		"domain": "framework", 
		"projectOwner": "NationalSecurityAgency", 
		"contributors": 73
	},

5. Before running the tool, add to your execution profile the parameter -Xmx8192M to increase the Max Heap Size. Big projects require at least 8192M, but for most projects -Xmx4096M is enough.
6. Once the execution starts, each project will be downloaded to a separated folder inside the path defined in the projects. This process may take a very long time if you choose to analyze all the 600 projects.
7. At the end, a JSON will be created inside of each project's folder with all collected metrics.

1. If you do not want to execute the tool but want to see all data, we provide inside the folder *\database* a JSON file, named ExceptionHunterDB.
2. This way, you can import this JSON directly to mongoDB or open in your text editor.

Inside the folder EASE2020 - Data Analysis we provide the python scripts that we used in our data analysis.

Inside the folder JSS - Data Analysis we provide the python scripts that we used in our data analysis.