Automatic indexing of software artifacts

Author

Girardi, M.R. ; Ibrahim, B.

Author_Institution

Geneva Univ., Switzerland

fYear

1994

fDate

1-4 Nov 1994

Firstpage

24

Lastpage

32

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSR.1994.365814

Filename

365814