Title :
Automatic indexing of software artifacts
Author :
Girardi, M.R. ; Ibrahim, B.
Author_Institution :
Geneva Univ., Switzerland
Abstract :
This paper describes the classification mechanism of ROSA, a software reuse system based on the processing of the natural language descriptions of software artifacts. The system supports the automatic indexing of components by acquiring lexical, syntactic and semantic information from software descriptions. Major goals of the approach are cost-effectiveness and retrieval precision. Some results from a first experiment with the classification system are discussed
Keywords :
classification; indexing; natural languages; software reusability; ROSA; automatic indexing; classification mechanism; classification system; cost-effectiveness; lexical information; natural language descriptions; retrieval precision; semantic information; software artifact indexing; software reuse system; syntactic information; Information retrieval; Machine assisted indexing; Natural languages; Robustness; Software design; Software libraries; Software performance; Software reusability; Software systems; Specification languages;
Conference_Titel :
Software Reuse: Advances in Software Reusability, 1994. Proceedings., Third International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-8186-6632-3
DOI :
10.1109/ICSR.1994.365814
