NDLI: Filtering out methods you wish you hadn't navigated

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Filtering out methods you wish you hadn't navigated

Content Provider	ACM Digital Library
Author	Ying, Annie T. T. Tarr, Peri L.
Abstract	The navigation of structural dependencies (e.g., method invocations) when a developer performs a change task is an effective strategy in program investigation. Several existing approaches have addressed the problem of finding program elements relevant to a task by using structural dependencies. These approaches provide different levels of benefits: limiting the amount of information returned, providing calling context, and providing global information. Aiming to incorporate these three benefits simultaneously, we propose an approach--called call graph filtering--to help developers narrow down the methods relevant to a change task. Our call graph filtering approach uses heuristics to highlight methods that are likely relevant to a change task on a call graph. The size of the set of relevant methods is reduced by our filtering heuristics, while global information and the calling context are provided by the call graph. We have performed two preliminary studies: a user study on identifying methods relevant to the understanding of JUnit tests on a small system, and an empirical study on how our results can help a developer perform a program navigation task with the Eclipse framework. The studies show that our approach can provide useful results: quantitatively in terms of size of the results, precision, and recall; and qualitatively in terms of finding non-trivial control-flow and being able to direct developer to the code of interest.
Starting Page	11
Ending Page	15
Page Count	5
File Format	PDF
ISBN	9781605580159
DOI	10.1145/1328279.1328282
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-10-21
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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