  Nowadays, the use of feature modeling technique, in software requirements
specification, increased the variation support in Data Intensive Software
Product Lines (DISPLs) requirements modeling. It is considered the easiest and
the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled
data variability by different models which are far from real world concepts.
This,leaded to difficulties in analyzing, designing, implementing, and
maintaining this variability. However, this work proposes a software
requirements specification methodology based on concepts more close to the
nature and which are inspired from genetics. This bio-inspiration has carried
out important results in DISPLs requirements variability specification with
feature modeling, which were not approached by the conventional approaches.The
feature model was enriched with features and relations, facilitating the
requirements variation management, not yet considered in the current relevant
works.The use of genetics-based methodology seems to be promising in data
intensive software requirements variability specification.
