Background. Feature Model (FM) is the most important technique used to manage the variability throughproducts in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variableuse case modelwhich is a real challenge inactual approaches: large gap between their concepts and those ofreal world leading to bad quality, poor supporting FM, and the variability does not cover all requirementsmodeling levels. Aims. This paper proposes a bio-inspired use case variability modeling methodology dealing with theabove 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 gapbetween computing concepts and real world ones. It supports use case variability modeling by introducingversions and revisions features and related relations. The variability is supported at three meta levelscovering business domain, applications family, and specific application requirements. Conclusion. A comparative evaluation with the closest recent works, upon some meaningful criteria in thedomain, shows the conceptual and practical great value of the proposed methodology and leads topromising research perspectives.
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