Improving the management of product lines by performing domain knowledge extraction and cross product line analysis

摘要: ContextIncrease in market competition is one of the main reasons for developing and maintaining families systems, termed Product Lines (PLs). Managing those PLs challenging, let alone management several related PLs. Currently, are managed separately or their relations analyzed assuming explicit specification dependencies use an underlying terminology. Such assumptions may not hold when different departments companies applying various engineering processes. ObjectiveIn this work we call utilizing knowledge gained from same domain order to recommend on improvements MethodThe suggested approach conducts extraction cross PL analysis feature diagrams - aid modeling variability. The extracted by similarity metrics, clustering, mining techniques. Based created models, performs that examines models generates improvement recommendations existing overall (e.g., merging splitting PLs). ResultsThe outcomes were evaluated humans a mobile phones. evaluation results provide evidence general its particular meet human perception given domain. ConclusionWe conclude through generate useful individual PLs, as well