Abstract

Analysis of a model is always a hot area of research. The quality of a feature model plays a significant role in software production because it is being used in product development. In this paper, along with the verification of errors in feature models we are validating our previous work where we have presented algorithms for the detection of quality level for a given feature model. Here, we are presenting the linear formulas of the feature models that we use as input for the quality detection algorithms. Further, this version is validating our semantics based quality detection technique of feature models.

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