  Identifying software identifiers that implement a particular feature of a
software product is known as feature identification. Feature identification is
one of the most critical and popular processes performed by software engineers
during software maintenance activity. However, a meaningful name must be
assigned to the Identified Feature Implementation Block (IFIB) to complete the
feature identification process. The feature naming process remains a
challenging task, where the majority of existing approaches manually assign the
name of the IFIB. In this paper, the approach called FeatureClouds was
proposed, which can be exploited by software developers to name the IFIBs from
software code. FeatureClouds approach incorporates word clouds visualization
technique to name Feature Blocks (FBs) by using the most frequent words across
these blocks. FeatureClouds had evaluated by assessing its added benefit to the
current approaches in the literature, where limited tool support was supplied
to software developers to distinguish feature names of the IFIBs. For validity,
FeatureClouds had applied to draw shapes and ArgoUML software. The findings
showed that the proposed approach achieved promising results according to
well-known metrics in terms of Precision and Recall.
