Chandler Carruth
Chandler Carruth leads the C++, Clang, and LLVM teams at Google, building a better language with better diagnostics, tools, compilers, optimizers, etc. Previously, he worked on several pieces of Google’s distributed build system. He makes guest appearances helping to maintain a few core C++ libraries across Google’s codebase, and is active in the LLVM and Clang open source communities. He received his M.S. and B.S. in Computer Science from Wake Forest University, but disavows all knowledge of the contents of his Master’s thesis. He is regularly found drinking Cherry Coke Zero in the daytime and pontificating over a single malt scotch in the evening.
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Large-Scale Automated Refactoring Using ClangMR
Hyrum Wright
Daniel Jasper
Manuel Klimek
Zhanyong Wan
Proceedings of the 29th International Conference on Software Maintenance (2013)
Preview abstract
Maintaining large codebases can be a challenging endeavour. As new libraries, APIs and standards are introduced, old code is migrated to use them. To provide as clean and succinct an interface as possible for developers, old APIs are ideally removed as new ones are introduced. In practice, this becomes difficult as automatically finding and transforming code in a semantically correct way can be challenging, particularly as the size of a codebase increases.
In this paper, we present a real-world implementation of a system to refactor large C++ codebases efficiently. A combination of the Clang compiler framework and the MapReduce parallel processor, ClangMR enables code maintainers to easily and correctly transform large collections of code. We describe the motivation behind such a tool, its implementation and then present our experiences using it in a recent API update with Google’s C++ codebase.
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