by Roberto E. Lopez-Herrejon, Lukas Linsbauer, Wesley K. G. Assunção, Stefan Fischer, Silvia R. Vergilio, Alexander Egyed
Abstract:
Software Product Lines (SPLs) are families of related software systems that provide different combinations of features. Extensive research and application attest to the signi ficant economical and technological benefits of employing SPL practices. However, there are still several challenges that remain open. Salient among them is reverse engineering SPLs from existing variants of software systems and their subsequent evolution. In this paper, we aim at sketching connections between research on these open SPL challenges and ongoing work on Genetic Improvement. Our hope is that by drawing such connections we can spark the interest of both research communities on the exciting synergies at the intersection of these subject areas.
Reference:
Genetic Improvement for Software Product Lines: An Overview and a Roadmap (Roberto E. Lopez-Herrejon, Lukas Linsbauer, Wesley K. G. Assunção, Stefan Fischer, Silvia R. Vergilio, Alexander Egyed), In Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2015), Madrid, Spain, 2015.
Bibtex Entry:
@Conference{DBLP:conf/gecco/Lopez-HerrejonL15,
author = {Roberto E. Lopez-Herrejon and Lukas Linsbauer and Wesley K. G. Assunção and Stefan Fischer and Silvia R. Vergilio and Alexander Egyed},
title = {Genetic Improvement for Software Product Lines: An Overview and a Roadmap},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2015), Madrid, Spain},
year = {2015},
pages = {823--830},
abstract = {Software Product Lines (SPLs) are families of related software systems
that provide different combinations of features. Extensive research
and application attest to the signi ficant economical and technological
benefits of employing SPL practices. However, there are still several
challenges that remain open. Salient among them is reverse engineering
SPLs from existing variants of software systems and their subsequent
evolution. In this paper, we aim at sketching connections between
research on these open SPL challenges and ongoing work on Genetic
Improvement. Our hope is that by drawing such connections we can
spark the interest of both research communities on the exciting synergies
at the intersection of these subject areas.},
bibsource = {dblp computer science bibliography, http://dblp.org},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/gecco/Lopez-HerrejonL15},
doi = {10.1145/2739482.2768422},
file = {:Conferences\\GECCO 2015 - Extracting Variability-Safe Feature Models from Source Code Dependencies in System Variants\\Genetic Improvement for Software Product Lines-preprint.pdf:PDF},
keywords = {FWF P25289},
timestamp = {Wed, 30 Dec 2015 09:05:10 +0100},
url = {http://doi.acm.org/10.1145/2739482.2768422},
}