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Assisting concept assignment using probabilistic classification and cognitive mapping

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dc.contributor.author Cleary, Brendan
dc.contributor.author Exton, Chris
dc.date.accessioned 2012-05-11T09:04:30Z
dc.date.available 2012-05-11T09:04:30Z
dc.date.issued 2006
dc.identifier.citation Proceedings of 19th Annual Psychology of Programming Workshop (PPIG 07) en_US
dc.identifier.uri http://hdl.handle.net/10344/2168
dc.description peer-reviewed en_US
dc.description.abstract The problem of concept assignment, that is, the problem of mapping human oriented concepts to elements in the code base of a system under study, and approaches which facilitate concept assignment can be considered as central to assisting software engineers in comprehending the unfamiliar systems they encounter. This paper presents a technique called cognitive assignment that attempts to capture what expert engineers know about the systems they work with and uses that information to generate classifiers that are used to implement a ranked search over a set of software elements. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Proceedings of 19th Annual Psychology of Programming Workshop (PPIG 07);
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject cognitive mapping en_US
dc.subject concept assignment en_US
dc.subject software engineering en_US
dc.title Assisting concept assignment using probabilistic classification and cognitive mapping en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI
dc.internal.authorcontactother Chris.Exton@ul.ie

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