Overview

VarexJ is a variability-aware interpreter for Java(8) bytecode based on Java Pathfinder v7.0 (rev 1155+) see: http://javapathfinder.sourceforge.net/.

JDK 8 is required.

Build:

Import the project into eclipse.

Use gradle to build the project (e.g., ./gradlew build)

Within Eclipse you can use the gradle plugin: https://github.com/spring-projects/eclipse-integration-gradle/

• On the "build.gradle" file Run as/Gradle build... Specify "build" at the Gradle Tasks page and press run
• You may need to generate eclipse project files: Specify "eclipse" at the Gradle Tasks page

For recent versions of Java 8, include the commented lines in src/classes/java/sun.misc.SharedSecrets.java

JPF options:

Variability-Aware options:

• set feature expression [SAT, BDD] factory=BDD
• set choice type [TreeChoice, MapChoice] choice=TreeChoice
• define constraints of the application with a dimacs file can be created with FeatureIDE (http://fosd.net/fide): featuremodel="path"\model.dimacs
• set method frame [StackHandler] (currently only one type supported)

Specify conditional boolean fields

import gov.nasa.jpf.annotation.Conditional;

@Conditional
static FEATURE = true;

FEATURE is used as if it has both values true and false.

Run VarexJ:

a) as test: see test package "cmu.*", it contains several examples for variability-aware execution

b) as JVM via command line:

java -jar ..\RunJPF.jar +native_classpath=.."path to VarexJ"\lib\* +search.class=.search.RandomSearch +featuremodel="path to the feature model"\model.dimacs +choice=TreeChoice +factory=BDD +classpath="path to the application"\bin\ A.B.Main args

c) using a main method:

public static void main(String[] _) {
	String path = "C:/Project/";
	String[] args = {
		"+classpath=" + path + "bin",
		"+search.class=.search.RandomSearch",
		"+featuremodel=" + path + "model.dimacs", 
		"Main"
	};
	JPF.main(args);
}