Print Email Facebook Twitter Approximate Computing for Build Jobs in Continuous Integration Title Approximate Computing for Build Jobs in Continuous Integration Author Struharová, Natália (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor van Deursen, A. (mentor) Cruz, Luis (mentor) Sallou, J. (mentor) Degree granting institution Delft University of Technology Programme Computer Science Date 2024-05-23 Abstract Continuous Integration (CI) has become a cornerstone of modern software development, gaining widespread adoption due to its ability to facilitate frequent and dependable code integration. However, its benefits are offset by high computational costs and energy consumption, particularly in the build phase. With its growing popularity, it is crucial to reflect on the efficiency of the CI process. This thesis proposes a novel framework to optimise energy consumption in the build jobs of CI pipelines, with primary focus on minimising compilation workload. Leveraging static dependency analysis and commit information, the framework introduces guided partial compilation, targeting only files affected by changes. The results demonstrate its ability to maintain CI reliability while significantly reducing energy consumption in real-world projects, with a 22% reduction of energy consumption in compilation-only experiments, and up to 63% energy savings in experiments that extrapolate the effects of partial compilation across the rest of the build job. The contributions in this research offer a stepping stone toward the imperative establishment of sustainable standards within the CI practice. Subject Sustainable Continuous Integration (CI)Guided Partial CompilationBuild Job To reference this document use: http://resolver.tudelft.nl/uuid:4c432eb4-c599-4f13-8386-b712a75d580a Part of collection Student theses Document type master thesis Rights © 2024 Natália Struharová Files PDF Thesis_Natalia-2.pdf 3.09 MB Close viewer /islandora/object/uuid:4c432eb4-c599-4f13-8386-b712a75d580a/datastream/OBJ/view