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dc.contributor.authorFisher II, Marcen_US
dc.contributor.authorDufour, Brunoen_US
dc.contributor.authorBasu, Shrutarshien_US
dc.contributor.authorRyder, Barbara G.en_US
dc.date.accessioned2013-06-19T14:36:38Z
dc.date.available2013-06-19T14:36:38Z
dc.date.issued2010-04-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00001117/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20328
dc.description.abstractThis paper explores the use of context sensitivity both intra- and interprocedurally in a blended (static/dynamic) program analysis for performance diagnosis of framework-intensive Web-based applications. Empirical experiments with an existing blended analysis algorithm [9] compare combinations of (i) use of a context-insensitive call graph with a context-sensitive calling context tree, and (ii) use (or not) of context-sensitive code pruning within methods. These experiments demonstrate achievable gains in scalability and performance in terms of several metrics designed for blended escape analysis, and report results in terms of object instances created, to allow more realistic conclusions from the data than were possible previously.en_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofComputer Science Technical Reportsen_US
dc.subjectSoftware engineeringen_US
dc.titleExploring the Impact of Context Sensitivity on Blended Analysisen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-10-06en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001117/01/icsm10-submitted.pdf


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