Feature modularity in mechanized reasoning

dc.contributor.advisorCook, William Randall
dc.creatorDelaware, Benjamin Jamesen
dc.date.accessioned2014-01-15T19:42:28Zen
dc.date.issued2013-12en
dc.date.submittedDecember 2013en
dc.date.updated2014-01-15T19:42:29Zen
dc.descriptiontexten
dc.description.abstractComplex systems are naturally understood as combinations of their distinguishing characteristics or \definit{features}. Distinct features differentiate between variations of configurable systems and also identify the novelties of extensions. The implementation of a conceptual feature is often scattered throughout an artifact, forcing designers to understand the entire artifact in order to reason about the behavior of a single feature. It is particularly challenging to independently develop novel extensions to complex systems as a result. This dissertation shows how to modularly reason about the implementation of conceptual features in both the formalizations of programming languages and object-oriented software product lines. In both domains, modular verification of features can be leveraged to reason about the behavior of artifacts in which they are included: fully mechanized metatheory proofs for programming languages can be synthesized from independently developed proofs, and programs built from well-formed feature modules are guaranteed to be well-formed without needing to be typechecked. Modular reasoning about individual features can furthermore be used to efficiently reason about families of languages and programs which share a common set of features.en
dc.description.departmentComputer Science
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/22867en
dc.language.isoen_USen
dc.subjectProgramming language metatheoryen
dc.subjectModular reasoningen
dc.titleFeature modularity in mechanized reasoningen
thesis.degree.departmentComputer Sciencesen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

Access full-text files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
DELAWARE-DISSERTATION-2013.pdf
Size:
1.4 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.85 KB
Format:
Plain Text
Description: