一句话：提出一种增量构建算法，支持全功能编程语言脚本，执行代价随受影响任务数扩展而非项目规模。
增量构建系统对快速、可复现的软件构建至关重要，它通过精确捕获依赖并选择性执行任务来缩短反馈周期。然而，现有面向可编程构建脚本的增量算法往往无法随项目规模良好扩展，且构建脚本语言的表达力直接影响可维护性。本文提出一种新的增量构建算法，允许构建工程师使用全功能编程语言，支持显式任务调用、值与文件检查，以及条件和迭代等语言构造。算法接受一组变更文件，传递地检测并重新执行受影响任务，同时处理构建期间新发现的任务依赖。作者在真实案例研究中评估了算法性能，确认其可扩展性：执行代价随受影响任务数量增长，而与项目大小无关。
Incremental build systems are essential for fast, reproducible software builds. Incremental build systems enable short feedback cycles when they capture dependencies precisely and selectively execute build tasks efficiently. A much overlooked feature of build systems is the expressiveness of the scripting language, which directly influences the maintainability of build scripts. In this paper, we present a new incremental build algorithm that allows build engineers to use a full-fledged programming language with explicit task invocation, value and file inspection facilities, and conditional and iterative language constructs. In contrast to prior work on incrementality for such programmable builds, our algorithm scales with the number of tasks affected by a change and is independent of the size of the software project being built. Specifically, our algorithm accepts a set of changed files, transitively detects and re-executes affected build tasks, but also accounts for new task dependencies discovered during building. We have evaluated the performance of our algorithm in a real-world case study and confirm its scalability.