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- W2067053867 abstract "Compilation is an important step in building working software system. To compile large systems, typically build systems, such as make, are used. In this paper, we investigate a new research problem for build configuration file (e.g., Makefile) analysis: how to predict missed dependencies in a build configuration file. We refer to this problem as dependency mining. Based on a Makefile, we build a dependency graph capturing various relationships defined in the Makefile. By representing a Makefile as a dependency graph, we map the dependency mining problem to a link prediction problem, and leverage 9 state-of-the-art link prediction algorithms to solve it. We collected Makefiles from 7 open source projects to evaluate the effectiveness of the algorithms." @default.
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- W2067053867 date "2014-03-24" @default.
- W2067053867 modified "2023-10-10" @default.
- W2067053867 title "Build system analysis with link prediction" @default.
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- W2067053867 doi "https://doi.org/10.1145/2554850.2555134" @default.
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