Publication | Closed Access
A Semi-Automatic Approach for Extracting Software Product Lines
32
Citations
41
References
2011
Year
Software MaintenanceEngineeringSoftware EngineeringSemi-automatic ApproachFormal VerificationSoftware AnalysisAutomated Software EngineeringData ScienceSystems EngineeringProduct Line DevelopmentKnowledge DiscoveryComputer EngineeringFeature ModelingSoftware Product LineComputer ScienceSoftware VisualizationStatic Program AnalysisSoftware DesignProduct Line ExtractionProgram AnalysisSoftware TestingFormal MethodsProduct Line EngineeringSystem SoftwareLegacy ApplicationData Modeling
The extraction of nontrivial software product lines (SPL) from a legacy application is a time-consuming task. First, developers must identify the components responsible for the implementation of each program feature. Next, they must locate the lines of code that reference the components discovered in the previous step. Finally, they must extract those lines to independent modules or annotate them in some way. To speed up product line extraction, this paper describes a semi-automatic approach to annotate the code of optional features in SPLs. The proposed approach is based on an existing tool for product line development, called CIDE, that enhances standard IDEs with the ability to associate background colors with the lines of code that implement a feature. We have evaluated and successfully applied our approach to the extraction of optional features from three nontrivial systems: Prevayler (an in-memory database system), JFreeChart (a chart library), and ArgoUML (a UML modeling tool).
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