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» Using Data Fusion and Web Mining to Support Feature Location...
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IWPC
2010
IEEE
13 years 2 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
WCRE
2009
IEEE
13 years 11 months ago
Supporting Feature-Level Software Maintenance
The proposed research defines data fusion approaches to support software maintenance tasks at the feature level. Static, dynamic, and textual sources of information are combined t...
Meghan Revelle
ECML
2007
Springer
13 years 10 months ago
Using Text Mining and Link Analysis for Software Mining
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Miha Grcar, Marko Grobelnik, Dunja Mladenic
SAINT
2003
IEEE
13 years 9 months ago
Extracting Spatial Knowledge from the Web
The content of the world-wide web is pervaded by information of a geographical or spatial nature, particularly such location information as addresses, postal codes, and telephone ...
Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, ...
ESEM
2007
ACM
13 years 6 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...