Alternative Scalable Algorithms for Lattice-Based Feature Location

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20th IEEE International Conference on Software Maintenance (ICSM'04)

Alternative Scalable Algorithms for Lattice-Based Feature Location (PDF)

Chicago, Illinois

September 11-September 14

ISBN: 0-7695-2213-0

	ASCII Text	x
	Wei Zhao, Lu Zhang, Dan Hao, Hong Mei, Jiasu Sun, "Alternative Scalable Algorithms for Lattice-Based Feature Location," Software Maintenance, IEEE International Conference on, pp. 528, 20th IEEE International Conference on Software Maintenance (ICSM'04), 2004.

	BibTex	x
	@article{ 10.1109/ICSM.2004.1357870, author = {Wei Zhao and Lu Zhang and Dan Hao and Hong Mei and Jiasu Sun}, title = {Alternative Scalable Algorithms for Lattice-Based Feature Location}, journal ={Software Maintenance, IEEE International Conference on}, volume = {0}, year = {2004}, issn = {1063-6773}, pages = {528}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICSM.2004.1357870}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Software Maintenance, IEEE International Conference on TI - Alternative Scalable Algorithms for Lattice-Based Feature Location SN - 1063-6773 SP EP A1 - Wei Zhao, A1 - Lu Zhang, A1 - Dan Hao, A1 - Hong Mei, A1 - Jiasu Sun, PY - 2004 KW - null VL - 0 JA - Software Maintenance, IEEE International Conference on ER -

Wei Zhao, Peking University

Lu Zhang, Peking University

Dan Hao, Peking University

Hong Mei, Peking University

Jiasu Sun, Peking University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSM.2004.1357870

Considering the scalability of using formal concept analysis to locate features in source code, we present a set of alternative straightforward algorithms to achieve the same objectives. A preliminary experiment indicates that the alternative algorithms are more scalable to deal with the large numbers of data to some extent.

Citation:

Wei Zhao, Lu Zhang, Dan Hao, Hong Mei, Jiasu Sun, "Alternative Scalable Algorithms for Lattice-Based Feature Location," icsm, pp.528, 20th IEEE International Conference on Software Maintenance (ICSM'04), 2004

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