FeatureClouds: Naming the Identified Feature Implementation Blocks from Software Source Code
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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.
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FeatureClouds: Naming the Identified Feature Implementation Blocks from Software Source Code
- 1. FeatureClouds: Naming the Identified Feature Implementation Blocks from Software Source Code Ra'Fat Al-Msie'deen, Hamzeh Eyal Salman, Anas H. Blasi, and Mohammed A. Alsuwaiket Department of Software Engineering, Faculty of IT, Mutah University, Mutah 61710, Karak, Jordan E-mail address: rafatalmsiedeen@mutah.edu.jo https://rafat66.github.io/Al-Msie-Deen/
- 3. Abstract 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.
- 4. Index terms Feature naming, feature implementation blocks, software engineering, word clouds.
- 5. Introduction • In this paper, we propose an approach called FeatureClouds to support feature naming during the feature identification process from software source code. • The proposed approach exploits the word cloud visualization technique to help software engineers to name the IFIBs. • As each block include only the implementation of a single feature. Feature naming is based on an analysis of the content of each IFIB to propose a feature name. • IFIBs can be named by selecting words with the highest frequency from word clouds.
- 6. Fig. 1. The IFIBs from software source code
- 7. Related Work
- 8. Related Work The majority of the current studies manually suggest feature names of the extracted FIBs based on existing software documentation. In the related work, no work automatically provides a name for the IFIBs.
- 10. Inputs Feature implementation blocks FeatureClouds Creating word cloud Extracting identifier names (words) Splitting words Returning words to their roots Identifying words arrangement Determining word weights Outputs Feature implementation block names
- 11. MyOval getOvalx getOvaly Oval setOvaly setOvalx Drawing.Shapes.Oval Ovalx Ovaly OvalSettings Rectangle RectangleSettings Drawing.Shapes.Rectangle setRectangley setRectanglex Rectanglex Rectangley getRectangley MyRectangle getRectanglex FIBs identified from drawing shapes software variants
- 12. Software 1 Software 2 Software n Feature implementation block 1 Feature block Software Identifier (package, class, method or attribute) Component Service Feature Software A Single software Software family
- 13. Software 1 Software 2 Software n Feature implementation block 1 Software Identifier (package, class, method or attribute) Software A Single software Software family
- 15. State Feature naming via the feature model: State Feature naming via FeatureClouds approach: State Feature model (partial) ArgoUML State …. Feature implementation block (partial) Recall metric = 1, and precision metric = 1 Word cloud (partial) ……. ………. …. …….. State …………. FigStubState FigForkState . . Manually Feature naming: State Fig. 8. FIB, word cloud, manual feature name, named feature by FeatureClouds, recall and precision metrics for state feature of ArgoUML software
- 16. State Manual feature name FigStubState GoStateToOutgoingTrans FigForkState GoStateMachineToState PropPanelUMLStateDiagram FigHistoryState PredIsStartState GoStateMachineToTop GoStateMachineToTransition StateDiagramPropPanelFactory GoClassifierToStateMachine ActionStateDiagram GoStateToIncomingTrans PredIsFinalState FigConcurrentRegion UMLStateDiagram FigCompositeState ActionCreatePseudostate FigSubmachineState GoStatemachineToDiagram FigBranchState GoBehavioralFeatureToStateDiagram FigSimpleState FigDeepHistoryState FigInitialState SelectionState GoCompositeStateToSubvertex FigJunctionState FigSynchState FigState FigJoinState ButtonActionNewEffect InitStateDiagram FigShallowHistoryState GoProjectToStateMachine State Named feature by FeatureClouds Feature model ArgoUML State …. Feature implementation block Recall metric = 1 & precision metric = 1 Word cloud
- 17. State Collaboration Activity Use case Sequence Deployment Class Cognitive support Logging Diagrams ArgoUML Mandatory Optional Legend: Fig. 5. ArgoUML FM [21].
- 18. Inputs Feature implementation blocks Software product variants Single software product Feature implementation identification FeatureClouds Creating word cloud Extracting identifier names (words) Splitting words Returning words to their roots Identifying words arrangement Determining word weights Outputs Feature implementation block names A B C D E F X X Feature naming Feature implementation block Feature name Word cloud
- 19. References
- 20. References
- 21. References
- 22. FeatureClouds: Naming the Identified Feature Implementation Blocks from Software Source Code Ra'Fat Al-Msie'deen, Hamzeh Eyal Salman, Anas H. Blasi, and Mohammed A. Alsuwaiket Department of Software Engineering, Faculty of IT, Mutah University, Mutah 61710, Karak, Jordan E-mail address: rafatalmsiedeen@mutah.edu.jo https://rafat66.github.io/Al-Msie-Deen/