A comparison of performance specialization learning for configurable systems
Author:
Affiliation:
1. Univ Rennes, Inria, CNRS, IRISA, Rennes, France
2. Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Funder
ANR VaryVary
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3461001.3471155
Reference47 articles.
1. Mathieu Acher Hugo Martin Juliana Pereira ArnaudBlouin Jean-Marc Jézéquel Djamel Khelladi Luc Lesoil and Olivier Barais. 2019. Learning Very Large Configuration Spaces: What Matters for Linux Kernel Sizes. (2019). Mathieu Acher Hugo Martin Juliana Pereira ArnaudBlouin Jean-Marc Jézéquel Djamel Khelladi Luc Lesoil and Olivier Barais. 2019. Learning Very Large Configuration Spaces: What Matters for Linux Kernel Sizes. (2019).
2. VaryLATEX
3. Juliana Alves Pereira Hugo Martin Mathieu Acher Jean-Marc Jézéquel Goetz Botterweck and Anthony Ventresque. 2019. Learning Software Configuration Spaces: A Systematic Literature Review. Research Report. Univ Rennes Inria CNRS IRISA. 10.1145/nnnnnnn.nnnnnnn Juliana Alves Pereira Hugo Martin Mathieu Acher Jean-Marc Jézéquel Goetz Botterweck and Anthony Ventresque. 2019. Learning Software Configuration Spaces: A Systematic Literature Review. Research Report. Univ Rennes Inria CNRS IRISA. 10.1145/nnnnnnn.nnnnnnn
4. Automatic Detection and Removal of Conformance Faults in Feature Models
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