TY - GEN
T1 - Towards modular large-scale darwinian software improvement
AU - Orlov, Michael
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - This paper proposes to explore a software engineer-assisted method for evolutionarily improving large-scale software systems. A framework is outlined for selecting and evolving specific components of such systems, while avoiding treating the complete software as a single independent individual in the population, thereby forgoing the high costs of that approach.
AB - This paper proposes to explore a software engineer-assisted method for evolutionarily improving large-scale software systems. A framework is outlined for selecting and evolving specific components of such systems, while avoiding treating the complete software as a single independent individual in the population, thereby forgoing the high costs of that approach.
KW - Genetic improvement
KW - Genetic programming
KW - Large-scale software systems
UR - https://www.scopus.com/pages/publications/85051566007
U2 - 10.1145/3205651.3208311
DO - 10.1145/3205651.3208311
M3 - Conference contribution
AN - SCOPUS:85051566007
T3 - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
SP - 1614
EP - 1615
BT - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2018 Genetic and Evolutionary Computation Conference, GECCO 2018
Y2 - 15 July 2018 through 19 July 2018
ER -