RESTRUCTURING OF WEB APPLICATIONS BASED ON PARTICLE SWARM OPTIMIZATION USING WEB PAGE RELATIONSHIPS AND METRICS

Abstract

With the number of web applications on the internet increasing rapidly it has become very important to engineer them in ways similar to how we develop and maintain mainstream software. Most of the existing web applications were developed using ad hoc techniques and as a result, most of them are suffering from various structural flaws. This increases the effort and cost required to maintain the application and decreases component reuse. In this study titled ‘Restructuring Of Web Applications Based On Particle Swarm Optimization Using Web Page Relationships And Metrics’ we tried to improve the quality of existing web applications by removing structural flaws that exist in its implementation. Previous research has used genetic algorithm (GA) to optimize a web application and used coupling and cohesion to create clusters of web pages. The results showed that changing the structure provide an impact on the quality of the application. We extend that work by using particle swarm optimization for restructuring purposes in an attempt to improve the quality of the web application.