Paper Info
Title
Identifying and Mapping Implemented Variabilities in Java and C++ Systems using symfinder
Abstract
Variability is present in most modern object-oriented softwareintensive systems, despite that they commonly do not follow a product line approach. In these systems, variability is implicit and hardly documented as it is implemented by different traditional mechanisms, namely inheritance, overloading, or design patterns. This hampers variability management as automatic identification of variation points (vp-s) with variants is very difficult. symfinder is a symmetry-based tooled approach that enables automatic identification of potential vp-s with variants in such systems. Then, it visualizes them relying on their density in code assets. From the Java-only version presented at SPLC'2019, we present here several notable improvements. They concern an added support for C++ systems, the identification of vp-s implemented by Decorator and Template pattern instances, an enhanced visualization (e.g., to display all variants, and package coloring), as well as automation of the mapping of potential vp-s to domain features.
Year
DOI
Venue
2020
10.1145/3382026.3431251
SPLC '20: 24th ACM International Systems and Software Product Line Conference Montreal QC Canada October, 2020
DocType
Volume
ISBN
Conference
B
978-1-4503-7570-2
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Johann Mortara100.34
Philippe Collet265249.32
Xhevahire Tërnava333.43