Sub-graph Mining: Identifying Micro-architectures in Evolving Object-oriented Software. Belderrar, A., Kpodjedo, S., Gu�h�neuc, Y., Antoniol, G., & Galinier, P. In Kanellopoulos, Y. & Mens, T., editors, Proceedings of the 15<sup>th</sup> European Conference on Software Maintenance and Reengineering (CSMR), pages 171–180, March, 2011. IEEE CS Press. 10 pages.
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Paper abstract bibtex
Paper abstract bibtex Developers introduce novel and undocumented micro-architectures when performing evolution tasks on object-oriented applications. We are interested in understanding whether those organizations of classes and relations can bear, much like cataloged design and anti-patterns, potential harm or benefit to an object-oriented application. We present SGFinder, a sub-graph mining approach and tool based on an efficient enumeration technique to identify recurring micro-architectures in object-oriented class diagrams. Once SGFinder has detected instances of micro-architectures, we exploit these instances to identify their desirable properties, such as stability, or unwanted properties, such as change or fault proneness. We perform a feasibility study of our approach by applying SGFinder on the reverse-engineered class diagrams of several releases of two Java applications: ArgoUML and Rhino. We characterize and highlight some of the most interesting micro-architectures, \eg the most change and fault prone, and conclude that SGFinder opens the way to further interesting studies.
@INPROCEEDINGS{Belderrar11-CSMR-SubgraphsEvolution,
AUTHOR = {Ahmed Belderrar and S�gla Kpodjedo and
Yann-Ga�l Gu�h�neuc and Giuliano Antoniol and Philippe Galinier},
BOOKTITLE = {Proceedings of the 15<sup>th</sup> European Conference on Software Maintenance and Reengineering (CSMR)},
TITLE = {Sub-graph Mining: Identifying Micro-architectures in
Evolving Object-oriented Software},
YEAR = {2011},
OPTADDRESS = {},
OPTCROSSREF = {},
EDITOR = {Yiannis Kanellopoulos and Tom Mens},
MONTH = {March},
NOTE = {10 pages.},
OPTNUMBER = {},
OPTORGANIZATION = {},
PAGES = {171--180},
PUBLISHER = {IEEE CS Press},
OPTSERIES = {},
OPTVOLUME = {},
KEYWORDS = {Topic: <b>Evolution patterns</b>, Venue: <c>CSMR</c>},
URL = {http://www.ptidej.net/publications/documents/CSMR11b.doc.pdf},
PDF = {http://www.ptidej.net/publications/documents/CSMR11b.ppt.pdf},
ABSTRACT = {Developers introduce novel and undocumented
micro-architectures when performing evolution tasks on
object-oriented applications. We are interested in understanding
whether those organizations of classes and relations can bear, much
like cataloged design and anti-patterns, potential harm or benefit to
an object-oriented application. We present SGFinder, a sub-graph
mining approach and tool based on an efficient enumeration technique
to identify recurring micro-architectures in object-oriented class
diagrams. Once SGFinder has detected instances of
micro-architectures, we exploit these instances to identify their
desirable properties, such as stability, or unwanted properties, such
as change or fault proneness. We perform a feasibility study of our
approach by applying SGFinder on the reverse-engineered class
diagrams of several releases of two Java applications: ArgoUML and
Rhino. We characterize and highlight some of the most interesting
micro-architectures, \eg{} the most change and fault prone, and
conclude that SGFinder opens the way to further interesting studies.}
}Downloads: 0
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