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Using version spaces to support incremental searches in a software library

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1 Author(s)
Yu Chung Wong ; IBM Corp., Gaithersburg, MD, USA

Information spaces of software component descriptions in software libraries tend to be unstructured and ill-defined. Powerful browsing facilities are important for the successful use of software libraries to support software reuse. Browsing is an activity which iterates two processes: search result investigation and search tactic execution. Query refinement has been identified as a common search tactic used by humans. This paper describes an experimental software library system AIRS which exploits the use of some AI techniques to support incremental searching, a type of query refinement. Specifically, AIRS uses the concept of subsumption to organize software descriptions into a generalization hierarchy, and uses version spaces, a technique originated from machine learning, to support incremental searching through the generalization hierarchy

Published in:

Software Engineering and Knowledge Engineering, 1992. Proceedings., Fourth International Conference on

Date of Conference:

15-20 Jun 1992

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