2012MPG.PuRe (Max Planck Society)Requires access

Refactoring, reengineering and evolution: paths to Geant4 uncertainty quantification and performance improvement

Batič, M., Begalli, M., Han, M., Hauf, S., Hoff, G., Kim, C., Kuster, M., Pia, M., Saracco, P., Seo, H., Weidenspointner, G., Zoglauer, A.

Open publisher page 2 citations

Abstract

Ongoing investigations for the improvement of Geant4 accuracy and computational performance resulting by refactoring and reengineering parts of the code are discussed. Issues in refactoring that are specific to the domain of physics simulation are identified and their impact is elucidated. Preliminary quantitative results are reported.

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What this paper is about

Ongoing investigations for the improvement of Geant4 accuracy and computational performance resulting by refactoring and reengineering parts of the code are discussed. Issues in refactoring that are specific to the domain of physics simulation are identified and their impact is elucidated. Preliminary quantitative results are reported.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Ongoing investigations for the improvement of Geant4 accuracy and computational performance resulting by refactoring and reengineering parts of the code are discussed. Issues in refactoring that are specific to the domain of physics simulation are identified and their impact is elucidated. Preliminary quantitative results are reported.

Key concepts: Code refactoring, Business process reengineering, Computer science, Domain (mathematical analysis), Code (set theory), Software engineering, Programming language, Engineering

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