Using History Information to Improve Design Flaws Detection

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Using History Information to Improve Design Flaws Detection (2004)

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by Stéphane Ducasse , Tudor Gîrba , Radu Marinescu

Venue:	CSMR 2004: 8TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING
Citations:	43 - 9 self

BibTeX

@INPROCEEDINGS{Ducasse04usinghistory,
    author = {Stéphane Ducasse and Tudor Gîrba and Radu Marinescu},
    title = {Using History Information to Improve Design Flaws Detection},
    booktitle = {CSMR 2004: 8TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING},
    year = {2004},
    pages = {223--232},
    publisher = {}
}

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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.

Keyphrases

history information design problem improve design flaw detection valuable semantical information single version historical information flawed design structure data class automatic identification large scale case study automatic detection structure decay essential information suspected flawed structure current approach god class suspected structure much maintenance effort automatic problem detection

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