- author = "Aidan Murphy and Thomas Laurent and Anthony Ventresque",
- title = "The case for Grammatical Evolution in test generation",
- booktitle = "GI @ GECCO 2022",
- year = "2022",
- editor = "Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke",
- pages = "1946--1947",
- address = "Boston, USA",
- publisher_address = "New York, NY, USA",
- month = "9 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- keywords = "genetic algorithms, genetic programming, genetic improvement, Grammatical Evolution, SBSE, Software testing and debugging, Automatic Test Generation, Search Based Software Testing, SBST, Java, Closure-14",
- isbn13 = "978-1-4503-9268-6/22/07",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Murphy_2022_GI.pdf",
-
DOI = "
doi:10.1145/3520304.3534042",
-
slides_url = "http://geneticimprovementofsoftware.com/slides/gi2022gecco/murphy-case-for-grammatical-evolution-gi-gecco-22.pdf",
-
video_url = "
https://www.youtube.com/watch?v=D_bBCT468WA&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=7",
- size = "2 pages",
- abstract = "Generating tests for software is an important, but difficult, task. Search-based test generation is promising, as it reduces the time required from human experts, but suffers from many problems and limitations. Namely, the inability to fully incorporate a testers domain knowledge into the search, its difficulty in creating very complex objects, and the problems associated with variable length tests. This paper illustrates how Grammatical Evolution could address and provide a possible solution to each of these concerns.",
-
notes = "cites \cite{Anjum:2021:SNCS}
\cite{Deiner:2020:SSBSE}
Lero
http://geneticimprovementofsoftware.com/events/gecco2022
GECCO-2022 A Recombination of the 31st International Conference on Genetic Algorithms (ICGA) and the 27th Annual Genetic Programming Conference (GP)",
