NSbS：Search-based diverse sampling from real-world software product lines

1. The entry of this project is the main function of src/spl/NSbS_Driver/main.

public static void main(String[] args) throws Exception {

String [] fms = {
   // -------------Specify feature models-------------
   "lrzip",
};

String outputDir = "./output/"; // Output file
int runs = 1; // How many runs
boolean dimacs = true;
int nbProds = 100; // How many cases in each sample	
long timeAllowed = 0; 	
int k = 15; // Parameter k used in novelty score   	
String fmFile = null;

for (int i = 0;i < fms.length;i++) {

	fmFile = "./FM_NS/" + fms[i] + ".dimacs"; 
	timeAllowed = 3600 * 1000; // timeout = 1 hour

	System.out.println(fmFile);

	long startTimeMS = System.currentTimeMillis() ;   
	NSbS_Driver.getInstance().initializeModelSolvers(fmFile); // Initialize solvers
	long endTimeMS = System.currentTimeMillis();

	// Used when automatic termination. The time of initialization is counted
	long remainTimeAllowed = (endTimeMS - startTimeMS); 

	System.out.println("Maximum time allowed " + timeAllowed);   	

	// Call NS to perform diverse sampling
	NSbS_Driver.getInstance().findProductsNSDiverse(fmFile, outputDir, runs, dimacs, nbProds, timeAllowed, remainTimeAllowed,k);	

}    	

} // main

2. The following is some paramters to be set by users.

String outputDir = "./output/"; // Output file
int runs = 1; // How many runs
boolean dimacs = true;
int nbProds = 100; // How many cases in each sample
long timeAllowed = 0; 
int k = 15; // Parameter k used in novelty score