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dc.contributor.advisorAlexander, Warren P
dc.contributor.authorSnyder, Mark Huntington
dc.date.accessioned2011-10-09T14:36:32Z
dc.date.available2011-10-09T14:36:32Z
dc.date.issued2011-08-31
dc.date.submitted2011
dc.identifier.otherhttp://dissertations.umi.com/ku:11701
dc.identifier.urihttp://hdl.handle.net/1808/8184
dc.description.abstractSpecification languages serve a fundamentally different purpose than general-purpose programming languages, and their type systems reflect these needs. Specification type systems must record and track more information for us to reason about a system adequately, and this added expressiveness may lead to an undecidable typing analysis. System level design begins with a high-level specification that is continually refined and expanded with implementation details, constraints, and typing information, down to a concrete specification. During this refinement process, the system is underspecified, and many static analyses aren't applicable until the system is fully specified. However, partial specifications contain valuable information that can inform the refinement process--we can locally inspect parts of the specification from a typing perspective to look for inferrable information or inconsistencies early on to aid the refinement process. This work defines a typing analysis that gathers constraints and typing information to inform the specification refinement process. It explores localized techniques such as local type inference and tracking of values as a means of influencing the specification refinement process.
dc.format.extent152 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectComputer science
dc.subjectDependent typing
dc.subjectRosetta
dc.subjectSpecification language
dc.subjectTyping analysis
dc.titleType Directed Specification Refinement
dc.typeDissertation
dc.contributor.cmtememberAlexander, Warren P
dc.contributor.cmtememberGill, Andrew
dc.contributor.cmtememberKinnersley, Nancy
dc.contributor.cmtememberKulkarni, Prasad
dc.contributor.cmtememberMartin, Jeremy
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelPh.D.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
kusw.bibid7643050
dc.rights.accessrightsopenAccess


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