NDLI: Lessons learned from automated analysis of industrial UML class models (an experience report)

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Lessons learned from automated analysis of industrial UML class models (an experience report)

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Lessons learned from automated analysis of industrial UML class models (an experience report)

Content Provider	ACM Digital Library
Author	Berenbach, Brian Stephenson, Ryan Cheng, Betty H. C.
Abstract	Automated analysis of object-oriented design models can provide insight into the quality of a given software design. Data obtained from automated analysis, however, is often too complex to be easily understood by a designer. This paper examines the use of an automated analysis tool on industrial software UML class models, where one set of models was created as part of the design process and the other was obtained from reverse engineering code. The analysis was performed by DesignAdvisor, a tool developed by Siemens Corporate Research, that supports metrics-based analysis and detection of design guideline violations. The paper describes the lessons learned from using the automated analysis techniques to assess the quality of these models. We also assess the impact of design pattern use in the overall quality of the models. Based on our lessons learned, identify design guidelines that would minimize the occurrence of these errors.
Starting Page	324
Ending Page	338
Page Count	15
ISBN	9783540290100
ISSN	03029743
DOI	10.1007/11557432_24
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-10-02
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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