Using a hierarchical thesaurus for classifying and searching software libraries

Hsian Chou Liao*, Ming Feng Chen, Feng-Jian Wang, Jian Cheng Dai

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Software reuse is an effective way to improve software productivity and quality. Software libraries are getting bigger, while most of them, such as those of object-oriented languages, use a simple but somewhat ineffective classification method. These libraries usually provide search aids for novices but experts. They are not flexible enough to serve users at different levels of familiarity with libraries. In this paper, we propose a Software Reuse Framework (SRF) for overcoming the above drawbacks. Based on a built-in hierarchical thesaurus, its classification process may be made semi-automatic. SRF is a domain-independent framework that can be adapted to various libraries and also provides four search levels to serve users with different levels of familiarity with libraries.

Original languageEnglish
Pages (from-to)210-216
Number of pages7
JournalProceedings - IEEE Computer Society's International Computer Software and Applications Conference
DOIs
StatePublished - 1 Jan 1997
EventProceedings of the 1997 21st Annual International Computer Software & Applications Conference, COMPSAC'97 - Washington, DC, USA
Duration: 13 Aug 199715 Aug 1997

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