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» Semantic clustering: Identifying topics in source code
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KBSE
1999
IEEE
13 years 11 months ago
Automatic Software Clustering via Latent Semantic Analysis
The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based ...
Jonathan I. Maletic, Naveen Valluri
IPM
2006
151views more  IPM 2006»
13 years 6 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
MSR
2005
ACM
14 years 4 days ago
Towards a taxonomy of approaches for mining of source code repositories
Source code version repositories provide a treasure of information encompassing the changes introduced in the system throughout its evolution. These repositories are typically man...
Huzefa H. Kagdi, Michael L. Collard, Jonathan I. M...
ICSM
2009
IEEE
14 years 1 months ago
Modeling class cohesion as mixtures of latent topics
The paper proposes a new measure for the cohesion of classes in Object-Oriented software systems. It is based on the analysis of latent topics embedded in comments and identifiers...
Yixun Liu, Denys Poshyvanyk, Rudolf Ferenc, Tibor ...
JAIR
2011
138views more  JAIR 2011»
13 years 1 months ago
Identifying Aspects for Web-Search Queries
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effectiv...
Fei Wu, Jayant Madhavan, Alon Y. Halevy