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dc.creatorKim, Jongwook
dc.date.accessioned2011-07-08T18:06:28Z
dc.date.available2011-07-08T18:06:28Z
dc.date.created2011-05
dc.date.issued2011-07-08
dc.date.submittedMay 2011
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-05-3534
dc.descriptiontext
dc.description.abstractResearch in Software Product Line Engineering (SPLE) traditionally focuses on product derivation. Prior work has explored the automated derivation of products by module composition. However, it has so far neglected propagating changes (edits) in a product back to the product line definition. A domain-specific product should be possible to update its features locally, and later these changes should be propagated back to the product line definition automatically. Otherwise, the entire product line has to be revised manually in order to make the changes permanent. Although this is the current state, it is a very error-prone process. To address these issues, we present a tool called Paan to create product lines of MS Word documents with back-propagation support. It is a diff-based tool that ignores unchanged fragments and reveals fragments that are changed, added or deleted. Paan takes a document with variation points (VPs) as input, and shreds it into building blocks called tiles. Only those tiles that are new or have changed must be updated in the tile repository. In this way, changes in composed documents can be back-propagated to their original feature module definitions. A document is synthesized by retrieving the appropriate tiles and composing them.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectSoftware product line engineering
dc.subjectSoftware engineering
dc.subjectDocument editing
dc.subjectMS Word
dc.subjectWord processing
dc.titlePaan : a tool for back-propagating changes to projected documents
dc.date.updated2011-07-08T18:06:36Z
dc.identifier.slug2152/ETD-UT-2011-05-3534
dc.description.departmentComputer Sciences
dc.type.genrethesis*
thesis.degree.departmentComputer Sciences
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Computer Sciences


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