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Nowadays, the use of feature modeling technique, in software requirementsspecification, increased the variation support in Data Intensive SoftwareProduct Lines (DISPLs) requirements modeling. It is considered the easiest andthe most efficient way to express commonalities and variability among differentproducts requirements. Several recent works, in DISPLs requirements, handleddata variability by different models which are far from real world concepts.This,leaded to difficulties in analyzing, designing, implementing, andmaintaining this variability. However, this work proposes a softwarerequirements specification methodology based on concepts more close to thenature and which are inspired from genetics. This bio-inspiration has carriedout important results in DISPLs requirements variability specification withfeature modeling, which were not approached by the conventional approaches.Thefeature model was enriched with features and relations, facilitating therequirements variation management, not yet considered in the current relevantworks.The use of genetics-based methodology seems to be promising in dataintensive software requirements variability specification.

Requirements variability specification for data intensive software