Output details
11 - Computer Science and Informatics
University of Glasgow
Article title
Evolutionary improvement of programs
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
15
Issue number
4
First page of article
515
ISSN of journal
1089-778X
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
<22>This paper is highly cited and an earlier conference paper has received a further 38 citations. TEC is ranked 5/114 within all AI journals (SJR).
We were the first to propose the general applicability of GP to existing code., which opened up a new research area in optimising non-functional properties of software using GP.
The paper formed the largest component of my PhD Thesis, nominated for a BCS distinguished thesis award (2010).
It influenced both Weimer et al.’s award-winning work on bug-fixing, the GISMO EPSRC project, and Langdon's work on porting existing software and improving execution time, amongst others.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
