Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks-Reference-Cited by-同舟云学术

Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks

Published:2023-04-15 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
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Author:

Swanzen Jared Chad¹^ORCID,Botes Kyle Thomas¹^ORCID,Molvi Husnaa¹^ORCID,Monchwe Omphile¹^ORCID,Phala Dan¹^ORCID,van der Haar Dustin¹^ORCID

Affiliation:

1. University of Johannesburg, Johannesburg, South Africa

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578245.3584692

Reference21 articles.

1. An introduction to kernel and nearest-neighbor nonparametric regression;Altman Naomi S;The American Statistician,1992

2. Virtual machine warmup blows hot and cold

3. David Binkley . 2007. Source code analysis: A road map. Future of Software Engineering (FOSE'07) ( 2007 ), 104--119. David Binkley. 2007. Source code analysis: A road map. Future of Software Engineering (FOSE'07) (2007), 104--119.

4. Corinna Cortes and Vladimir Vapnik . 1995. Support-vector networks. Machine learning , Vol. 20 , 3 ( 1995 ), 273--297. Corinna Cortes and Vladimir Vapnik. 1995. Support-vector networks. Machine learning, Vol. 20, 3 (1995), 273--297.

5. The Regression Analysis of Binary Sequences

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1. Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java Microbenchmarks;Companion of the 2023 ACM/SPEC International Conference on Performance Engineering;2023-04-15