PyroBuildS: Speeding up the exploration of large configuration spaces with incremental build

Abstract

International audienceSoftware developers are acutely aware that software build is an essential but resource-intensive step in any software development process, all the more when building large and/or highly configurable systems, whose vast number of configuration options leads to an explosion in the number of variants to build and evaluate. A potential approach to speed up the builds of multiple configurations is to do incremental build, i.e., to not clean the build environment and reuse previous builds when building a new configuration. Previous exploratory studies showed some benefits and limitations of incremental build, but mainly on small configurable software systems and on a limited set of close configurations. However, for large configuration spaces, little is known whether the large distance across configurations impacts the correctness and efficiency of incremental build.This paper presents PyroBuildS, a new approach to speed up incremental builds while keeping reproducibility, featuring a configuration variation operator parameterized by two deny lists of problematic options and a mutation size (diversity).We evaluate PyroBuildS through an empirical study on three large complex configurable systems, namely Linux, BusyBox, and ToyBox, with respectively 18637, 1078, 330 configuration options. We first show that for all configurations PyroBuildS produces the exact same binaries as a clean build, except for Linux with some non-reproducible random configurations. We identify the reasons why incremental build speeds up or slows down the build of large configuration spaces – a knowledge that can be integrated into PyroBuildS. Incremental build systematically pays off, since problematic options are avoided in the first place — something only PyroBuildS does. We also show that a naive use of incremental build on random Linux configurations backfires, taking more time than clean builds. Thus, PyroBuildS controls diversity to avoid too many differences across configurations to perform efficient incremental builds.Thanks to its ability to operate over non-problematic options and close enough configurations, PyroBuildS significantly speeds up the exploration of large configuration spaces, with a gain in build time from 16% to 22% in all three systems with mutated configurations. Finally, with random configurations, PyroBuildS also speeds up the build time from 15% to 20% for ToyBox and BusyBox