Using latent semantic analysis to identify similarities in source code to support program understanding

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 2000-January, Issue , 2000, Pages 46-53

  Maletic, J I ^a   Marcus, A ^a  

^a University of Memphis   (United States)

Author keywords

Application software; Computer architecture; Computer science; Documentation; Information analysis; Information retrieval; Natural languages; Software maintenance; Software systems; Statistical analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; CODES (SYMBOLS); COMPUTATIONAL LINGUISTICS; COMPUTER ARCHITECTURE; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SCIENCE; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; PROGRAM DOCUMENTATION; SEARCH ENGINES; SEMANTICS; STATISTICAL METHODS; SYSTEM PROGRAM DOCUMENTATION;

CLUSTER SOFTWARE; LATENT SEMANTIC ANALYSIS; NATURAL LANGUAGES; NEW APPLICATIONS; PROGRAM SOURCE CODES; PROGRAM UNDERSTANDING; SOFTWARE COMPONENT; SOFTWARE SYSTEMS;

APPLICATION PROGRAMS;

EID: 79958775709     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAI.2000.889845     Document Type: Conference Paper

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