- author = "Manuel Lopez-Ibanez",
- title = "ACM SIGEVO Best Dissertation Award 2022",
- journal = "SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation",
- year = "2022",
- volume = "15",
- number = "3",
- month = "Fall",
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1931-8499",
-
URL = "
https://evolution.sigevo.org/issues/HTML/sigevolution-15-3/index.htm#ACM_SIGEVO_Best_Dissertation_Award_2022",
-
URL = "https://dl.acm.org/action/showFmPdf?doi=10.1145%2F3578482",
-
abstract = "Winner Alexandru Marginean from University College
London (UK)
\cite{Marginean_10137954_thesis_redacted}
This dissertation proposes tools for multi-lingual automated code transplantation based on evolutionary computation to transplant functionality from one piece of software to another one. These methods speed up software development and automate bug fixing. Already 2.9 billion people daily run software that has been automatically repaired by the Sapfix system described in this work.
Honorary mention Fangfang Zhang from the Victoria University of Wellington \cite{Fangfang_Zhang:thesis}.
Honorary mention: Alexander Hagg from Leiden University.",
- notes = "https://evolution.sigevo.org/",
