A tool for optimizing the build performance of large software code bases

A.C. Telea; S.L. Voinea

doi:10.1109/CSMR.2008.4493340

A tool for optimizing the build performance of large software code bases

A.C. Telea, S.L. Voinea

Algorithms

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 12th European Conference on Software Maintenance and Reengineering (CSMR 2008, Athens, Greece, April 1-4, 2008)
Publisher	Institute of Electrical and Electronics Engineers
Pages	323-325
ISBN (Print)	978-1-4244-2157-2
DOIs	https://doi.org/10.1109/CSMR.2008.4493340
Publication status	Published - 2008

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10.1109/CSMR.2008.4493340

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title = "A tool for optimizing the build performance of large software code bases",

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.",

author = "A.C. Telea and S.L. Voinea",

year = "2008",

doi = "10.1109/CSMR.2008.4493340",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers",

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A tool for optimizing the build performance of large software code bases. / Telea, A.C.; Voinea, S.L.
Proceedings of the 12th European Conference on Software Maintenance and Reengineering (CSMR 2008, Athens, Greece, April 1-4, 2008). Institute of Electrical and Electronics Engineers, 2008. p. 323-325.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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M3 - Conference contribution

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BT - Proceedings of the 12th European Conference on Software Maintenance and Reengineering (CSMR 2008, Athens, Greece, April 1-4, 2008)

PB - Institute of Electrical and Electronics Engineers

ER -

A tool for optimizing the build performance of large software code bases

Abstract

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