13th International Workshop on Program Comprehension (IWPC'05)
DOI: 10.1109/wpc.2005.25
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NavTracks: Supporting Navigation in Software

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Cited by 25 publications
(14 citation statements)
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“…NavTracks is an Eclipse plug-in introduced by Singer et al [34] which captures the navigation patters of a developer working in Eclipse. Although theoretically they could replay the navigation, they do not do it; and even if they did, since the navigation is stored locally, replaying other developers' changes would not be possible.…”
Section: Related Workmentioning
confidence: 99%
“…NavTracks is an Eclipse plug-in introduced by Singer et al [34] which captures the navigation patters of a developer working in Eclipse. Although theoretically they could replay the navigation, they do not do it; and even if they did, since the navigation is stored locally, replaying other developers' changes would not be possible.…”
Section: Related Workmentioning
confidence: 99%
“…Each subject will be asked to numerically evaluate NavClus (1)(2)(3)(4)(5) and to describe about any past experience dealing with diagramming tools and experience with NavClus.…”
Section: Evaluation Planmentioning
confidence: 99%
“…However, these tools only address the first problem, developer disorientation [1]: these tools remind developers where they have visited, but cannot suggest unvisited locations to explore further. NavTracks suggests files to visit, but limits its visualization to showing clusters of visited files [5].…”
Section: Introductionmentioning
confidence: 99%
“…Fritz et al conducted an empirical study assessing the relationship between programmers activity and what a programmer knows about a code base [13] and DeLine et al report results of two studies which demonstrate that sharing navigation data can improve program comprehension "and is subjectively preferred by users" [14]. Both Mylyn [15] and NavTracks [16] are navigation aids based on what the programmer is currently looking at in the IDE, to recommend other entities to look at. Additionally, a study by Robbes on recommender systems based on recorded interactions [17], recognizes the lack of support for interaction annotations.…”
Section: Related Workmentioning
confidence: 99%