Leveraging Relational Concept Analysis for Automated Feature Location in Software Product Lines - Artefacts DataSet

Nicolas Hlad; Bérénice Lemoine; Marianne Huchard; Abdelhak-Djamel Seriai

doi:10.5281/zenodo.5544352

Retour

Leveraging Relational Concept Analysis for Automated Feature Location in Software Product Lines - Artefacts DataSet

Jeu de données

Open Access

Leveraging Relational Concept Analysis for Automated Feature Location in Software Product Lines - Artefacts DataSet

Nicolas Hlad, Bérénice Lemoine, Marianne Huchard et Abdelhak-Djamel Seriai

Zenodo

01/10/2021

DOI: https://doi.org/10.5281/zenodo.5544352

Résumé

Case Studies Results

Dataset

This Archive contains the Artefact of the paper, submitted at GPCE2021 : Leveraging Relational Concept Analysis for Automated Feature Location in Software Product Lines It contains the dataset and the results of our Feature Location techniques when applied to this dataset.

Fichiers et liens (1)

url

https://doi.org/10.5281/zenodo.5544352Afficher

Ouvrir

Indicateurs

1 Consultations de la notice

Détails

Titre: Leveraging Relational Concept Analysis for Automated Feature Location in Software Product Lines - Artefacts DataSet
Créateurs - sans rôle: Nicolas Hlad - LIRMM, Univ Montpellier, CNRS
Bérénice Lemoine - LIRMM, Univ Montpellier, CNRS
Marianne Huchard - LIRMM, Univ Montpellier, CNRS
Abdelhak-Djamel Seriai - LIRMM, Univ Montpellier, CNRS
Éditeur: Zenodo
Identifiants: 99139263909311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Langue: English
Type de ressource: Dataset