2015
DOI: 10.1109/tse.2014.2362138
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The Impact of View Histories on Edit Recommendations

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Cited by 15 publications
(32 citation statements)
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“…Users f ound their proposed tool to be more accurate than previous tools. Recently, Lee et al (2015) proposed an approach (named MI) to recommend relevant entities to developers. They used both view and selection activities on the entities from the developer's context and mine association rules to identify relevant entities.…”
Section: Usage Of Mylyn Contextmentioning
confidence: 99%
“…Users f ound their proposed tool to be more accurate than previous tools. Recently, Lee et al (2015) proposed an approach (named MI) to recommend relevant entities to developers. They used both view and selection activities on the entities from the developer's context and mine association rules to identify relevant entities.…”
Section: Usage Of Mylyn Contextmentioning
confidence: 99%
“…NavClus [8] improves the previous approaches by clustering navigational cycles. MI [9] includes view/selection histories of program entities in association rules and recommend entities that are not yet edited. Kersten and Murphy [5] used ITs to build task contexts and recommend program entities to developers.…”
Section: Interaction Traces For Recommendationmentioning
confidence: 99%
“…At the event level, we focus on the noises for edit events because (1) edit events are more accurately identifiable from video data than other events as it is trivial to see in the videos if the code is being changed and (2) edit events are subject to several assumptions, such as being representative of the activity of changing source code [9], [16], [19]. Also, edit events have been used to build code recommendation tools [4], [9] and as proxy to productivity [5], [16].…”
Section: Event Levelmentioning
confidence: 99%
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