Constraint-Based Thread-Modular Abstract Interpretation

dc.contributor.authorKusano, Markus Jan Urbanen
dc.contributor.committeechairWang, Chaoen
dc.contributor.committeechairHsiao, Michael S.en
dc.contributor.committeememberZeng, Haiboen
dc.contributor.committeememberLee, Dongyoonen
dc.contributor.committeememberSchaumont, Patrick R.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2018-07-26T08:00:41Zen
dc.date.available2018-07-26T08:00:41Zen
dc.date.issued2018-07-25en
dc.description.abstractIn this dissertation, I present a set of novel constraint-based thread-modular abstract-interpretation techniques for static analysis of concurrent programs. Specifically, I integrate a lightweight constraint solver into a thread-modular abstract interpreter to reason about inter-thread interference more accurately. Then, I show how to extend the new analyzer from programs running on sequentially consistent memory to programs running on weak memory. Finally, I show how to perform incremental abstract interpretation, with and without the previously mentioned constraint solver, by analyzing only regions of the program impacted by a program modification. I also demonstrate, through experiments, that these new constraint-based static analyzers are significantly more accurate than prior abstract interpretation-based static analyzers, with lower runtime overhead, and that the incremental technique can drastically reduce runtime overhead in the presence of small program modifications.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:15155en
dc.identifier.urihttp://hdl.handle.net/10919/84399en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectabstract interpretationen
dc.subjectconcurrencyen
dc.subjectverificationen
dc.subjectstatic analysisen
dc.titleConstraint-Based Thread-Modular Abstract Interpretationen
dc.typeDissertationen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Kusano_MJ_D_2018.pdf
Size:
744.1 KB
Format:
Adobe Portable Document Format