Generalizable and interpretable learning for configuration extrapolation
Name
3468264.3468603.pdf
Description
Published version
Size
4.3 MB
Format
Adobe PDF
Checksum (MD5)
cac9a5f40a50ff943ad979f699533283
Author(s)
Ding, Yi
Pervaiz, Ahsan
Carbin, Michael
Hoffmann, Henry
Date Issued
2021
Journal
Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Publisher
Association for Computing Machinery (ACM)
Citation
Ding, Yi, Pervaiz, Ahsan, Carbin, Michael and Hoffmann, Henry. 2021. "Generalizable and interpretable learning for configuration extrapolation." Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3468264.3468603
