Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

13

KBSE
1999
IEEE

favoriteEmaildiscussreport

250views Software Engineering» more KBSE 1999»

Automatic Software Clustering via Latent Semantic Analysis

13 years 8 months ago

Automatic Software Clustering via Latent Semantic Analysis

Download www.cs.kent.edu

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 statistical method for inducing and representing aspects of the meanings of words and passages (of natural language) reflective in their usage. This methodology is assessed for application to the domain of software components (i.e., source code and its accompanying documentation). The intent of applying Latent Semantic Analysis to software components is to automatically induce a specific semantic meaning of a given component. Here LSA is used as the basis to cluster software components. Results of applying this method to the LEDA library and MINIX operating system are given. Applying Latent Semantic Analysis to the domain of source code and internal documentation for the support of software reuse is a new application of this method and a departure from the normal application domain of natural language.

Jonathan I. Maletic, Naveen Valluri

Real-time Traffic

KBSE 1999 | Latent Semantic Analysis | Software Components | Software Engineering | Source Code |

claim paper

Related Content

» Social and semantics analysis via nonnegative matrix factorization

» Root Cause Analysis Using Sequence Alignment and Latent Semantic Indexing

» Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis

» Collaborative filtering via gaussian probabilistic latent semantic analysis

» Holistic Sentiment Analysis Across Languages Multilingual Supervised Latent Dirichlet Allo...

» Learning an imageword embedding for image autoannotation on the nonlinear latent space

» A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis

» Web usage mining based on probabilistic latent semantic analysis

» Latent Semantic Indexing in PeertoPeer Networks

Post Info
More Details (n/a)

Added	04 Aug 2010
Updated	04 Aug 2010
Type	Conference
Year	1999
Where	KBSE
Authors	Jonathan I. Maletic, Naveen Valluri

Comments (0)