Publication | Closed Access
Mining aspectual views using formal concept analysis
134
Citations
32
References
2005
Year
Unknown Venue
EngineeringCross-cutting ConcernSoftware EngineeringAspectual ViewsObject OrientationSemantic WebSemanticsSoftware AnalysisCorpus LinguisticsText MiningData ScienceData MiningComputational LinguisticsAspectual ViewLanguage StudiesContent AnalysisAspect-oriented ProgrammingSource CodeKnowledge DiscoveryTerminology ExtractionComputer ScienceSoftware DesignFormal Concept AnalysisProgram AnalysisProgramming MethodologyLinguistics
We report upon an initial experiment using the technique of formal concept analysis for mining aspectual views from the source code. An aspectual view is a set of source code entities, such as class hierarchies, classes and methods that are structurally related in some way, and often crosscut a particular application. Initially, we follow a lightweight approach, where we only consider the names of classes and methods. This simplistic technique already results in the discovery of interesting and meaningful aspectual views, leaving us confident that more complex approaches will perform even better, and merit to be studied in the future.
| Year | Citations | |
|---|---|---|
Page 1
Page 1