Guru: Information retrieval for reuse

Guru: Information retrieval for reuse (1994)

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by Yoelle S. Maarek , Gail E. Kaiser , Daniel M. Berry

Venue:	Landmark Contributions in Software Reuse and Reverse Engineering. Unicom Seminars Ltd
Citations:	3 - 0 self

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Datum	Value	Source
TITLE	Guru: Information retrieval for reuse	INFERENCE
AUTHOR NAME	Yoelle S. Maarek	SVM HeaderParse 0.2
AUTHOR AFFIL	IBM, Haifa Research Laboratory; Matam, Advanced Technology Center	SVM HeaderParse 0.2
AUTHOR ADDR	Haifa, 31905, Israel	SVM HeaderParse 0.2
AUTHOR NAME	Gail E. Kaiser	SVM HeaderParse 0.2
AUTHOR AFFIL	Columbia University; Department of Computer Science	SVM HeaderParse 0.2
AUTHOR ADDR	New York, NY 10027, USA	SVM HeaderParse 0.2
AUTHOR NAME	Daniel M. Berry	SVM HeaderParse 0.2
AUTHOR AFFIL	Technion, Israel Institute of Technology; Computer Science Department	SVM HeaderParse 0.2
AUTHOR ADDR	Haifa, 32000, Israel	SVM HeaderParse 0.2
ABSTRACT	Although software reuse presents clear advantages for programmer productivity and code reliability, it is not practiced enough. One of the reasons for the only moderate success of reuse is the lack of software libraries that facilitate the actual locating and understanding of reusable components. This paper describes a technology for automatically assembling large software libraries that promote software reuse by helping the user locate the components closest to her/his needs. Software libraries are automatically assembled from a set of unorganized components by using information retrieval techniques. The construction of the library is done in two steps. First, attributes are automatically extracted from natural language documentation by using a new free-text indexing scheme based on the notions of lexical a nities and quantity of information. Then, a hierarchy for browsing is automatically generated using a clustering technique that draws only on the information provided by the attributes. Thanks to the free-text indexing scheme, tools following this approach can accept free-style natural language queries. This technology has been implemented in the Guru system, which has been applied to construct an organized library of Aix utilities. An experiment was conducted in order to evaluate the retrieval e ectiveness of Guru as compared to InfoExplorer, ahypertext library system for Aix 3 on the IBM RS/6000 series, as well as to two other indexing schemes. We followed the usual evaluation procedure used in information retrieval, based upon recall and precision measures, and determined that our system retrieved more e ectively than the others. 1	SVM HeaderParse 0.2
YEAR	1994	INFERENCE
VENUE	Landmark Contributions in Software Reuse and Reverse Engineering. Unicom Seminars Ltd	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	39 found	ParsCit 1.0