Refactorings of Design Defects using Relational Concept Analysis. Moha, N., Hacene, A. M. R., Valtchev, P., & Gu�h�neuc, Y. In Medina, R. & Obiedkov, S., editors, Proceedings of the 4<sup>th</sup> International Conference on Formal Concept Analysis (ICFCA), pages 289–304, February, 2008. Springer-Verlag. 18 pages.
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Paper abstract bibtex
Paper abstract bibtex Software engineers often need to identify and correct design defects, ıe recurring design problems that hinder development and maintenance by making programs harder to comprehend and–or evolve. While detection of design defects is an actively researched area, their correction—mainly a manual and time-consuming activity — is yet to be extensively investigated for automation. In this paper, we propose an automated approach for suggesting defect-correcting refactorings using relational concept analysis (RCA). The added value of RCA consists in exploiting the links between formal objects which abound in a software re-engineering context. We validated our approach on instances of the Blob design defect taken from four different open-source programs.
@INPROCEEDINGS{Moha08-ICFCA-RefactoringsDesignDefects,
AUTHOR = {Naouel Moha and Amine Mohamed Rouane Hacene and
Petko Valtchev and Yann-Ga�l Gu�h�neuc},
BOOKTITLE = {Proceedings of the 4<sup>th</sup> International Conference on Formal Concept Analysis (ICFCA)},
TITLE = {Refactorings of Design Defects using Relational Concept
Analysis},
YEAR = {2008},
OPTADDRESS = {},
OPTCROSSREF = {},
EDITOR = {Raoul Medina and Sergei Obiedkov},
MONTH = {February},
NOTE = {18 pages.},
OPTNUMBER = {},
OPTORGANIZATION = {},
PAGES = {289--304},
PUBLISHER = {Springer-Verlag},
OPTSERIES = {},
OPTVOLUME = {},
KEYWORDS = {Topic: <b>Code and design smells</b>,
Venue: <c>ICFCA</c>},
URL = {http://www.ptidej.net/publications/documents/ICFCA08.doc.pdf},
PDF = {http://www.ptidej.net/publications/documents/ICFCA08.ppt.pdf},
ABSTRACT = {Software engineers often need to identify and correct
design defects, \ie{} recurring design problems that hinder
development and maintenance by making programs harder to comprehend
and--or evolve. While detection of design defects is an actively
researched area, their correction---mainly a manual and
time-consuming activity --- is yet to be extensively investigated for
automation. In this paper, we propose an automated approach for
suggesting defect-correcting refactorings using relational concept
analysis (RCA). The added value of RCA consists in exploiting the
links between formal objects which abound in a software
re-engineering context. We validated our approach on instances of the
\textit{Blob} design defect taken from four different open-source
programs.}
}Downloads: 0
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