2012/11/21 by Brendan Cody-Kenny, Cody-Kenny, Brendan, Stephen Barrett +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Software Engineering (cs.SE) #Software Engineering Research #Viral Infectious Diseases and Gene Expression in Insects #cs.NE #cs.SE
paper · pdf · doi:10.48550/arxiv.1211.5098
4 pages, Accepted for Graduate Student Workshop, GECCO 2012, Retracted by Authors
arxiv created 2012/11/21 · openalex publication_date 2012/11/21 · arxiv updated 2012/11/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In Search Based Software Engineering, Genetic Programming has been used for bug fixing, performance improvement and parallelisation of programs through the modification of source code. Where an evolutionary computation algorithm, such as Genetic Programming, is to be applied to similar code manipulation tasks, the complexity and size of source code for real-world software poses a scalability problem. To address this, we intend to inspect how the Software Engineering concepts of modularity, granularity and localisation of change can be reformulated as additional mechanisms within a Genetic Programming algorithm.