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dc.contributor.advisorM. Frans Kaashoek and Nickolai Zeldovich.en_US
dc.contributor.authorWang, Xi, Ph. D. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2015-01-20T18:00:01Z
dc.date.available2015-01-20T18:00:01Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/93071
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 61-65).en_US
dc.description.abstractThis thesis studies undefined behavior arising in systems programming languages such as C/C++. Undefined behavior bugs lead to unpredictable and subtle systems behavior, and their effects can be further amplified by compiler optimizations. Undefined behavior bugs are present in many systems, including the Linux kernel and the Postgres database. The consequences range from incorrect functionality to missing security checks. This thesis proposes a formal and practical approach, which finds undefined behavior bugs by finding "unstable code" in terms of optimizations that leverage undefined behavior. Using this approach, we introduce a new static checker called STACK that precisely identifies undefined behavior bugs. Applying STACK to widely used systems has uncovered 161 new bugs that have been confirmed and fixed by developers.en_US
dc.description.statementofresponsibilityby Xi Wang.en_US
dc.format.extent65 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleA differential approach to undefined behavior detectionen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc900008046en_US


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