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A DynamicPriority basd Approach to Fixing Inconsistent 一种基于动态优先级的固定不一致的方法
Define the methods (1/2) Define the methods (2/2) All-Set(A,B) composite-excludes Alternative-Set(C,D) Four methods: 1) {Unbind(A)}; 2){Unbind(B)}; 3) {Unbind(C), Unbind(D)}; 4){Bind(C), Bind(D)} Outline Background Motivation Basic Idea of Our Approach Challenges in Our Approach Case Studies Conclusion Case Study An preliminary case study Construct feature models for the web store domain Five participants identify feature, refinements, simple constraints, composite constraints Record usage logs the scale of feature models, the number of the detected inconsistencies, the number of the recommended solutions, ect Investigate through questionnaires Case Study Case study results the participants need recommended solutions when fixing inconsistency our system can help fix inconsistencies assigning priorities sometimes bring burden lack of the standards for the priorities of constraints adjusting priorities is relatively easier Experimental Results Generate feature models randomly. Up to 4000 features and 330 explicit constraints. Conclusion Conclusion Adopt constraint hierarchy theory to fix inconsistency in feature models Provide a dynamic-priority based mechanism to find the desirable solution Extend SkyBlue to support fixing inconsistency in feature models Thank you! QA wangbo07@sei.pku.edu.cn * * In the first few slides, I will introduce 1) feature models and 2) inconsistency in feature models. I think most of the participants in the workshop are not familiar with feature models. * Introduce the basic modeling elements of feature models. feature; 2) Refinement Relationships; 3)Mandatory Features 4)Require Constraint; 5) Excludes Constraint 6) Composite Constraints Purpose: 1) Give the attendants a impression of feature models. 2) Let the attendants know that feature models are complex and it may difficult to maintain the consistency of large feature models. * Introduce how to reuse requirements through selecting and deselecting features. Purpose: Intro
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