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A Learning Agent that Assists the Browsing of Software Libraries.

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Title: A Learning Agent that Assists the Browsing of Software Libraries.
Authors: Drummond, Christopher G.1 cdrummon@site.uottawa.ca, Ionescu, Dan1 ionescu@site.uottawa.ca, Holte, Robert C.1 holte@site.uottawa.ca
Source: IEEE Transactions on Software Engineering. Dec2000, Vol. 26 Issue 12, p1179-1196. 18p.
Subjects: Computer software, Library browsing, Libraries, Learning, Computer software development, Technology
Abstract: Locating software items is difficult, even for knowledgeable software designers, when searching in large, complex, and continuously growing libraries. This paper describes a technique we term active browsing. An active browser suggests to the designer items it estimates to be close to the target of the a search. The novel aspect of active browsing is that it is entirely unobtrusive: It infers its similarity measure from the designers normal browsing actions, without any special input. Experiments are presented in which the active browsing system succeeds 40 percent of the time in identifying the target before the designer has found it. An additional experiment indicates that this approach does, indeed, speed-up searches. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Software Engineering is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: A Learning Agent that Assists the Browsing of Software Libraries.
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  Data: <searchLink fieldCode="AR" term="%22Drummond%2C+Christopher+G%2E%22">Drummond, Christopher G.</searchLink><relatesTo>1</relatesTo><i> cdrummon@site.uottawa.ca</i><br /><searchLink fieldCode="AR" term="%22Ionescu%2C+Dan%22">Ionescu, Dan</searchLink><relatesTo>1</relatesTo><i> ionescu@site.uottawa.ca</i><br /><searchLink fieldCode="AR" term="%22Holte%2C+Robert+C%2E%22">Holte, Robert C.</searchLink><relatesTo>1</relatesTo><i> holte@site.uottawa.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Software+Engineering%22">IEEE Transactions on Software Engineering</searchLink>. Dec2000, Vol. 26 Issue 12, p1179-1196. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Library+browsing%22">Library browsing</searchLink><br /><searchLink fieldCode="DE" term="%22Libraries%22">Libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Technology%22">Technology</searchLink>
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  Data: Locating software items is difficult, even for knowledgeable software designers, when searching in large, complex, and continuously growing libraries. This paper describes a technique we term active browsing. An active browser suggests to the designer items it estimates to be close to the target of the a search. The novel aspect of active browsing is that it is entirely unobtrusive: It infers its similarity measure from the designers normal browsing actions, without any special input. Experiments are presented in which the active browsing system succeeds 40 percent of the time in identifying the target before the designer has found it. An additional experiment indicates that this approach does, indeed, speed-up searches. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE Transactions on Software Engineering is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Library browsing
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      – SubjectFull: Libraries
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              Text: Dec2000
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