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Exploring the Impact of Context Sensitivity on Blended Analysis

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dc.contributor.authorFisher II, Marcen
dc.contributor.authorDufour, Brunoen
dc.contributor.authorBasu, Shrutarshien
dc.contributor.authorRyder, Barbara G.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:38Zen
dc.date.available2013-06-19T14:36:38Zen
dc.date.issued2010-04-01en
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
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00001117/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001117/01/icsm10-submitted.pdfen
dc.identifier.trnumberTR-10-06en
dc.identifier.urihttp://hdl.handle.net/10919/20328en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofComputer Science Technical Reportsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSoftware engineeringen
dc.titleExploring the Impact of Context Sensitivity on Blended Analysisen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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