Title
Package patterns for visual architecture recovery
Abstract
Recovering the architecture is the first step towards reengineering a software system. Many reverse engineering tools use top-down exploration as a way of providing a visual and interactive process for architecture recovery. During the exploration process, the user navigates through various views on the system by choosing from several exploration operations. Although some sequences of these operations lead to views which, from the architectural point of view, are mode relevant than others, current tools do not provide a way of predicting which exploration paths are worth taking and which are not. In this article, we propose a set of package patterns which are used for augmenting the exploration process with information about the worthiness of the various exploration paths. The patterns are defined based on the internal package structure and on the relationships between the package and the other packages in the system. To validate our approach, we verify the relevance of the proposed patterns for real-world systems by analyzing their frequency of occurrence in six open-source software projects
Year
DOI
Venue
2006
10.1109/CSMR.2006.39
Bari
Keywords
Field
DocType
object-oriented programming,program visualisation,reverse engineering,software architecture,software maintenance,systems re-engineering,interactive process,internal package structure,open-source software projects,package patterns,program comprehension,program visualization,reverse engineering tools,software exploration,software system reengineering,top-down exploration,visual architecture recovery,visual process,Software exploration,architecture recovery,program comprehension,reverse engineering,visualization
Systems engineering,Object-oriented programming,Software engineering,Computer science,Visualization,Reverse engineering,Software system,Software,Software maintenance,Software architecture,Program comprehension
Conference
ISSN
ISBN
Citations 
1534-5351
0-7695-2536-9
22
PageRank 
References 
Authors
0.85
19
3
Name
Order
Citations
PageRank
Mircea Lungu154539.17
Michele Lanza22197124.38
Tudor Girba372940.01