Generating Accurate Dependencies for Large Software

dc.comment.hiddenThis thesis reuses some content (with modification) of a published paper "Generating precise dependencies for large software" in Proceedings of the Forth International Workshop on Managing Technical Debt, 2013. Authors are Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, and J. David Morgenthaler. The IEEE does not require individuals working on a thesis to obtain a formal reuse license.en
dc.contributor.authorWang, Pei
dc.date.accessioned2013-09-11T15:43:42Z
dc.date.available2015-05-01T05:31:38Z
dc.date.issued2013-09-11T15:43:42Z
dc.date.submitted2013
dc.description.abstractDependencies between program elements can reflect the architecture, design, and implementation of a software project. According a industry report, intra- and inter-module dependencies can be a significant source of latent threats to software maintainability in long-term software development, especially when the software has millions of lines of code. This thesis introduces the design and implementation of an accurate and scalable analysis tool that extracts code dependencies from large C/C++ software projects. The tool analyzes both symbol-level and module-level dependencies of a software system and provides an utilization-based dependency model. The accurate dependencies generated by the tool can be provided as the input to other software analysis suits; the results along can help developers identify potential underutilized and inconsistent dependencies in the software. Such information points to potential refactoring opportunities and assists developers with large-scale refactoring tasks.en
dc.description.embargoterms1 yearen
dc.identifier.urihttp://hdl.handle.net/10012/7875
dc.language.isoenen
dc.pendingtrueen
dc.publisherUniversity of Waterlooen
dc.subjectdependency analysisen
dc.subjectlarge scaleen
dc.subjectC++en
dc.subject.programElectrical and Computer Engineeringen
dc.titleGenerating Accurate Dependencies for Large Softwareen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Applied Scienceen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wang_Pei.pdf
Size:
373.82 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
244 B
Format:
Item-specific license agreed upon to submission
Description: