Artifact for "GenTree: Using Decision Trees to Learn Interactions for Configurable Software"

This document describes the artifact package accompanying the ICSE'21 paper "GenTree: Using Decision Trees to Learn Interactions for Configurable Software". The artifact includes GenTree source code, pre-built binaries, benchmark program specifications, and scripts to replicate the da...

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Bibliographic Details
Published in2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 177 - 178
Main Authors Nguyen, KimHao, Nguyen, ThanhVu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2021
Subjects
C++
decision tree
Decision trees
GenTree
Inference algorithms
interaction
Iterative methods
Python
Software
Software algorithms
Software engineering
Online AccessGet full text
ISBN1665412194
9781665412193
DOI10.1109/ICSE-Companion52605.2021.00076

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Summary:This document describes the artifact package accompanying the ICSE'21 paper "GenTree: Using Decision Trees to Learn Interactions for Configurable Software". The artifact includes GenTree source code, pre-built binaries, benchmark program specifications, and scripts to replicate the data presented in the paper. Furthermore, GenTree is applicable to new programs written in supported languages (C, C++, Python, Perl, Ocaml), or can be extended to support new languages easily. GenTree implementation is highly modular and optimized, hence, it can also be used as a framework for developing and testing new interaction inference algorithms. We hope the artifact will be useful for researchers who are interested in interaction learning, especially iterative and data-driven approaches.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00076