  Background. Feature Model (FM) is the most important technique used to manage
the variability through products in Software Product Lines (SPLs). Often, the
SPLs requirements variability is by using variable use case model which is a
real challenge in actual approaches: large gap between their concepts and those
of real world leading to bad quality, poor supporting FM, and the variability
does not cover all requirements modeling levels. Aims. This paper proposes a
bio-inspired use case variability modeling methodology dealing with the above
shortages. Method. The methodology is carried out through variable business
domain use case meta modeling, variable applications family use case meta
modeling, and variable specific application use case generating. Results. This
methodology has leaded to integrated solutions to the above challenges: it
decreases the gap between computing concepts and real world ones. It supports
use case variability modeling by introducing versions and revisions features
and related relations. The variability is supported at three meta levels
covering business domain, applications family, and specific application
requirements. Conclusion. A comparative evaluation with the closest recent
works, upon some meaningful criteria in the domain, shows the conceptual and
practical great value of the proposed methodology and leads to promising
research perspectives
