Title:
Paper: Evaluating the Precision of Static Reference Analysis Using Profiling

dc.contributor.author Liang, Donglin en_US
dc.contributor.author Pennings, Maikel
dc.contributor.author Harrold, Mary Jean
dc.date.accessioned 2005-06-17T17:38:40Z
dc.date.available 2005-06-17T17:38:40Z
dc.date.issued 2002 en_US
dc.description.abstract Program analyses and optimization of Java programs require reference information that determines the instances that may be accessed through dereferences. Reference information can be computed using reference analysis. This paper presents a set of studies that evaluate the precision of some existing approaches for identifying instances and for computing reference information in a reference analysis. The studies use dynamic reference information collected during run-time as a lower bound approximation to the precise reference information. The studies measure the precision of an existing approach by comparing the information computed using the approach with the lower bound approximation. The paper also presents case studies that attempt to identify the cases under which an existing approach is not effective. The presented studies provide information that may guide the usage of existing reference analysis techniques and the development of new reference analysis techniques. en_US
dc.format.extent 591672 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6521
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries CC Technical Report; GIT-CC-02-05 en_US
dc.subject Debugging in computer science
dc.subject Computer algorithms
dc.title Paper: Evaluating the Precision of Static Reference Analysis Using Profiling en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Harrold, Mary Jean
local.contributor.corporatename College of Computing
local.relation.ispartofseries College of Computing Technical Report Series
relation.isAuthorOfPublication a81ec5a9-452c-4407-a97d-77364fcc8af2
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 35c9e8fc-dd67-4201-b1d5-016381ef65b8
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