'Software clustering' presentation slideshows

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Software Clustering Using Bunch

Software Clustering Using Bunch

Software Clustering Using Bunch. Software Clustering Environment. Source Code. Source. Query. Source. Analyzer. Code. Script. Code. (e.g., Chava). Database. (e.g., AWK). Module. Dependency. Graph. Graph Layout &. Bunch. Clustered. Visualization. Output. Clustering. Graph.

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917 views • 77 slides
Software Clustering Using Bunch

Software Clustering Using Bunch

Software Clustering Using Bunch. Software Clustering Environment. Source Code. Source. Query. Source. Analyzer. Code. Script. Code. (e.g., Chava). Database. (e.g., AWK). Module. Dependency. Graph. Graph Layout &. Bunch. Clustered. Visualization. Output. Clustering. Graph.

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874 views • 76 slides
Software Clustering Using Bunch

Software Clustering Using Bunch

Software Clustering Using Bunch. Software Clustering Environment. Source Code. Source. Query. Source. Analyzer. Code. Script. Code. (e.g., Chava). Database. (e.g., AWK). Module. Dependency. Graph. Graph Layout &. Bunch. Clustered. Visualization. Output. Clustering. Graph.

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776 views • 76 slides
A Heuristic Search Approach to Solving the Software Clustering Problem

A Heuristic Search Approach to Solving the Software Clustering Problem

A Heuristic Search Approach to Solving the Software Clustering Problem. Brian S. Mitchell Software Engineering Research Group Math & Computer Science Department Drexel University. Outline. Motivation & Background Search Based Software Clustering (Bunch) Evaluating Clustering Results

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895 views • 70 slides
10/05/2002

10/05/2002

The Search Landscape of Graph Partitioning Problems using Coupling and Cohesion as the Clustering Criteria. Brian S. Mitchell & Spiros Mancoridis {bmitchel,smancori}@mcs.drexel.edu http://www.mcs.drexel.edu/~{bmitchel,smancori} Department of Computer Science

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551 views • 46 slides
Using Heuristic Search Techniques to Extract Design Abstractions from Source Code

Using Heuristic Search Techniques to Extract Design Abstractions from Source Code

Using Heuristic Search Techniques to Extract Design Abstractions from Source Code. The Genetic and Evolutionary Computation Conference (GECCO'02). Brian S. Mitchell & Spiros Mancoridis Math & Computer Science, Drexel University. Software Clustering Background.

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381 views • 27 slides
Using Heuristic Search Techniques to Extract Design Abstractions from Source Code

Using Heuristic Search Techniques to Extract Design Abstractions from Source Code

Using Heuristic Search Techniques to Extract Design Abstractions from Source Code. The Genetic and Evolutionary Computation Conference (GECCO'02). Brian S. Mitchell & Spiros Mancoridis Math & Computer Science, Drexel University. Software Clustering Background.

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275 views • 27 slides
A Heuristic Approach Towards Solving the Software Clustering Problem

A Heuristic Approach Towards Solving the Software Clustering Problem

A Heuristic Approach Towards Solving the Software Clustering Problem. ICSM03 Brian S. Mitchell bmitchell@drexel.edu / http://www.mcs.drexel.edu/~bmitchel Department of Computer Science, College of Engineering Drexel University Philadelphia, PA, 19104 USA. Understanding Large Systems is HARD.

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193 views • 16 slides

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