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CASCON
1997

Similarity-based retrieval for diverse bookshelf software repository users

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Similarity-based retrieval for diverse bookshelf software repository users
The paper presents a similarity-based retrieval framework for a software repository that aids the process of maintaining, understanding, and migrating legacy software systems [12]. Designing a software repository involves three issues: (1) information content; (2) information representation; and (3) strategies for accessing repository artifacts. Assuming the architecture presented in [12] we extend the retrieval system to support imprecise queries, iterative browsing, and diverse users. Because of repository size, complexity of queries and relations among artifacts, we take a performance approach to support a scalable implementation. We propose a retrieval system that uses numeric [31] and semantically rich context-based similarity [19]. Efficient iterative browsing is based on an incremental query evaluation algorithm from database management systems [20]. Explicitly defined context supports various retrieval strategies and diverse user models.
Igor Jurisica
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where CASCON
Authors Igor Jurisica
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