Speaker
Pei Wang
Title
Generating Precise Dependencies for Large Software
Abstract
Dependencies between program elements can reflect the architecture, design, and implementation of a software project. According a industry report [23], 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 a precise 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 precise 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.