Title :
A Genetic Algorithm Based Method of Fault Maintenance in Software-Intensive System
Author :
Xiong Bin ; Zhang Li ; Yang Na ; Li, Zhang
Author_Institution :
Xi´´an Res. Inst. of Hi-Tech, Xi´´an
Abstract :
This paper analyzes the problem of fault maintenance in software-Intensive system. The problem is described and modeled by a genetic algorithm (GA) based method. After a complete investigation on elements involved in the problem, the controls parameters in GA are confirmed. The feasibility and the degree of accuracy of the GA based method are tested by an example in the end.
Keywords :
genetic algorithms; software fault tolerance; software maintenance; fault maintenance; genetic algorithm based method; software-intensive system; Algorithm design and analysis; Computer science; Computer science education; Educational technology; Equations; Genetic algorithms; Hardware; Optimization methods; Paper technology; Software maintenance; Genetic Algorithm; Method of Fault Maintenance; Software Intensive System;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.774