Generation of Concurrency Control Program by Extending Functions in Genetic Programming
Teruhisa Hochin, Tatsuya Saigo, Shinji Tamura, Hiroki Nomiya · International Journal of Software Innovation · 2014
This paper tries to generate an appropriate concurrency control program by using genetic programming (GP). Although two variables have been introduced for generating concurrency control programs, these made program generation difficult because of the explosion of combination. By limiting the usage of variables to one of two variables, an appropriate program could be generated. This method, however, could not create all of concurrency control programs. This paper extends the variable to bring more information than before for creating any concurrency control programs. It is experimentally shown that an appropriate concurrency control program can successfully be generated by extending the variable.