Rights statement: ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Accepted author manuscript, 71.4 KB, PDF document
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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Open Challenges in Genetic Improvement for Emergent Software Systems
AU - Rainford, Penelope
AU - Porter, Barry
N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2021/7/7
Y1 - 2021/7/7
N2 - Genetic improvement for emergent software systems faces unique challenges due to its deployment in highly dynamic environments. In this paper, we discuss four of those challenges along with our initial plans for new research.
AB - Genetic improvement for emergent software systems faces unique challenges due to its deployment in highly dynamic environments. In this paper, we discuss four of those challenges along with our initial plans for new research.
U2 - 10.1109/GI52543.2021.00018
DO - 10.1109/GI52543.2021.00018
M3 - Conference contribution/Paper
SN - 9781665444675
SP - 43
EP - 44
BT - 2021 IEEE/ACM International Workshop on Genetic Improvement (GI)
PB - IEEE
T2 - International Workshop on Genetic Improvement 2021
Y2 - 30 May 2021 through 30 May 2021
ER -