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José Miguel Horcas committed May 25, 2022
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This repository contains all the resources and artifacts of the Monte Carlo Tree Search conceptual framework, supporting the papers entitled *A Monte Carlo Tree Search Conceptual Framework for Feature Model Analyses* submmited to the Journal of Systems and Software (Special Issue on Systems and Software Product Lines of the Future); and the paper *Monte Carlo Tree Search for feature model analyses: a new framework for decision-making* published in the 25th International Systems and Software Product Line Conference (SPLC 2021) by the authors José Miguel Horcas, José A. Galindo, Ruben Heradio, David Fernández-Amoros, and David Benavides.

# Table of Contents
- [Artifact description](#artifact-description)
- [The Monte Carlo conceptual framework](#the-monte-carlo-conceptual-framework)
- [Installation and execution](#installation-and-execution)
- [A Monte Carlo Tree Search conceptual framework for feature model analyses](#a-monte-carlo-tree-search-conceptual-framework-for-feature-model-analyses)
- [Table of Contents](#table-of-contents)
- [Artifact description](#artifact-description)
- [The Monte Carlo conceptual framework](#the-monte-carlo-conceptual-framework)
- [Interfaces](#interfaces)
- [Algorithms and Monte Carlo methods](#algorithms-and-monte-carlo-methods)
- [Configuration](#configuration)
- [Knowledge inference](#knowledge-inference)
- [Installation and execution](#installation-and-execution)
- [Requirements](#requirements)
- [Download and setup](#download-and-setup)
- [Using the framework under Docker](#using-the-framework-under-Docker)
- [Analyzing problems with the Monte Carlo framework](#analyzing-problems-with-the-Monte-Carlo-framework)
- [Results](#Results)
- [Analyzing problems with the Monte Carlo framework](#analyzing-problems-with-the-monte-carlo-framework)
- [Results](#results)
- [Experiment replication](#experiment-replication)
- [Replicating results from problem analyses](#replicating-results-from-problem-analyses)
- [Replicating results from comparison of Monte Carlo methods](#replicating-results-from-comparison-of-Monte-Carlo-methods)
- [Note about randomness in Monte Carlo methods](#note-about-randomness-in-Monte-Carlo-methods)
- [References](#References)

## Artifact description
We present a [**Monte Carlo conceptual framework**](montecarlo4fms/) to analyze SPL problems by modeling them as a sequence of decision steps and solving them with Monte Carlo techniques.
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