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Eighth Euromicro Working Conference on Software Maintenance and Reengineering (CSMR'04)   p. 223
Using History Information to Improve Design Flaws Detection
Daniel Ratiu, University of Timisoara, Romania
Ducasse Ducasse, University of Berne, Switzerland
Tudor Girba, University of Berne, Switzerland
Radu Marinescu, University of Timisoara, Romania

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSMR.2004.1281423
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Abstract
As systems evolve and their structure decays, maintainers need accurate and automatic identification of the design problems. Current approaches for automatic detection of design problems are not accurate enough because they analyze only a single version of a system and consequently they miss essential information as design problems appear and evolve over time. Our approach is to use the historical information of the suspected flawed structure to increase the accuracy of the automatic problem detection. Our means is to define measurements which summarize how persistent the problem was and how much maintenance effort was spent on the suspected structure. We apply our approach on a large scale case study and show how it improves the accuracy of the detection of God Classes and Data Classes, and additionally how it adds valuable semantical information about the evolution of flawed design structures.
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Index Terms- software maintenance, software evolution, software metrics, quality assurance, object-oriented programming Citation:  Daniel Ratiu, Ducasse Ducasse, Tudor Girba, Radu Marinescu, "Using History Information to Improve Design Flaws Detection," csmr, p. 223,  Eighth Euromicro Working Conference on Software Maintenance and Reengineering (CSMR'04),  2004