A Tool for Optimizing the Build Performance of Large Software Code Bases

A. Telea, L. Voinea
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引用次数: 15

Abstract

We present Build Analyzer, a tool that helps developers optimize the build performance of huge systems written in C. Due to complex C header dependencies, even small code changes can cause extremely long rebuilds, which are problematic when code is shared and modified by teams of hundreds of individuals. Build Analyzer supports several use cases. For developers, it provides an estimate of the build impact and distribution caused by a given change. For architects, it shows why a build is costly, how its cost is spread over the entire code base, which headers cause build bottlenecks, and suggests ways to refactor these to reduce the cost. We demonstrate Build Analyzer with a use-case on a real industry code base.
一个优化大型软件代码库构建性能的工具
我们介绍Build Analyzer,这是一个帮助开发人员优化用C编写的大型系统的构建性能的工具。由于复杂的C头依赖关系,即使是很小的代码更改也可能导致极其长时间的重建,当代码由数百人组成的团队共享和修改时,这是一个问题。Build Analyzer支持几个用例。对于开发人员,它提供了对由给定更改引起的构建影响和分布的估计。对于架构师来说,它显示了为什么构建是昂贵的,它的成本是如何分布在整个代码库上的,哪些头文件会导致构建瓶颈,并建议重构这些头文件以降低成本的方法。我们在一个真实的行业代码库上用一个用例来演示Build Analyzer。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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