
Classification of ReverseEngineered Class Diagram and ForwardEngineered Class Diagram using Machine Learning
UML Class diagram is very important to visualize the whole software we a...
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On Voronoi diagrams and dual Delaunay complexes on the informationgeometric Cauchy manifolds
We study the Voronoi diagrams of a finite set of Cauchy distributions an...
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Diagramming the Class Diagram: Toward a Unified Modeling Methodology
The objectoriented class is, in general, the most utilized element in p...
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ResiduumCondition Diagram and Reduction of OverComplete EndmemberSets
Extracting reference spectra, or endmembers (EMs) from a given multi or...
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Algebraic 3D Graphic Statics: reciprocal constructions
The recently developed 3D graphic statics (3DGS) lacks a rigorous mathem...
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Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
In this work, we introduce a new algorithm for analyzing a diagram, whic...
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Maximal Ferrers Diagram Codes: Constructions and Genericity Considerations
This paper investigates the construction of rankmetric codes with speci...
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Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram
Comprehending the behavior of an objectoriented system solely from its source code is troublesome, owing to its dynamism. To aid comprehension, visualizing program behavior through reverseengineered sequence diagrams from execution traces is a promising approach. However, because of the massiveness of traces, recovered diagrams tend to become very large, causing scalability issues. To address the issues, we propose an object grouping technique that horizontally summarizes a reverseengineered sequence diagram. Our technique constructs object groups based on Pree's meta patterns, in which each group corresponds to a concept in the domain of a subject system. Visualizing interactions only among important groups, we generate a summarized sequence diagram depicting a behavioral overview of the system. Our experiment showed that our technique outperformed the stateoftheart trace summarization technique in terms of reducing the horizontal size of reverseengineered sequence diagrams. Regarding the quality of object grouping, our technique achieved an Fscore of 0.670 and a Recall of 0.793 on average under the condition of #lifelines (i.e., the horizontal size of a sequence diagram) < 30, whereas those of the stateoftheart technique were 0.421 and 0.670, respectively. The runtime overhead imposed by our technique was 129.2 average, which is relatively smaller in the literature.
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