  Software companies usually develop a set of product variants within the same
family that share certain functions and differ in others. Variations across
software variants occur to meet different customer requirements. Thus, software
product variants evolve overtime to cope with new requirements. A software
engineer who deals with this family may find it difficult to understand the
evolution scenarios that have taken place over time. In addition, software
identifier names are important resources to understand the evolution scenarios
in this family. This paper introduces an automatic approach called Juana's
approach to detect the evolution scenario across two product variants at the
source code level and identifies the common and unique software identifier
names across software variants source code. Juana's approach refers to common
and unique identifier names as a software identifiers map and computes it by
comparing software variants to each other. Juana considers all software
identifier names such as package, class, attribute, and method. The novelty of
this approach is that it exploits common and unique identifier names across the
source code of software variants, to understand the evolution scenarios across
software family in an efficient way. For validity, Juana was applied on ArgoUML
and Mobile Media software variants. The results of this evaluation validate the
relevance and the performance of the approach as all evolution scenarios were
correctly detected via a software identifiers map.
