| 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 |