Title
Automated analysis of feature models: Quo vadis?
Abstract
Feature models have been used since the 90s to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances and settling the basis of the area of automated analysis of feature models (AAFM). From then on, different studies have applied the AAFM in different domains. In this paper, we provide an overview of the evolution of this field since 2010 by performing a systematic mapping study considering 423 primary sources. We found six different variability facets where the AAFM is being applied that define the tendencies: product configuration and derivation; testing and evolution; reverse engineering; multi-model variability-analysis; variability modelling and variability-intensive systems. We also confirmed that there is a lack of industrial evidence in most of the cases. Finally, we present where and when the papers have been published and who are the authors and institutions that are contributing to the field. We observed that the maturity is proven by the increment in the number of journals published along the years as well as the diversity of conferences and workshops where papers are published. We also suggest some synergies with other areas such as cloud or mobile computing among others that can motivate further research in the future.
Year
DOI
Venue
2019
10.1007/s00607-018-0646-1
Computing
Keywords
Field
DocType
Software product lines,Automated analysis,Feature models,Variability-intensive systems,68T35
Mobile computing,Data science,Mathematical optimization,Systematic review,Reuse,Systematic mapping,Reverse engineering,Software system,Software,Mathematics,Cloud computing
Journal
Volume
Issue
ISSN
101.0
5
1436-5057
Citations 
PageRank 
References 
1
0.35
18
Authors
5
Name
Order
Citations
PageRank
Jose A. Galindo124821.10
David Benavides243630.52
Pablo Trinidad344423.01
Antonio-Manuel Gutiérrez-Fernández410.35
Antonio Ruiz-Cortés5124450.26