Towards an Intelligent Model for Web Systems Development

In recent years several studies were conducted exploring state of the practice and different issues in web and multimedia systems development. Data analysis in all studies were conducted using classical statistical methods giving limited insight into principles of web project management. This paper provides results of an additional analysis of data obtained in national study among over hundred web development companies. The data was analyzed with the advanced techniques like linear regression and learning in neural networks. Those techniques enabled us to identify new validity of the web project outcome in dependence on variables such as complexity of the web system, planned duration, existence of development process, etc. Further, an intelligent model for web systems development is proposed which suggests desirable approaches to different web development phases, useful to both developers and clients. Our research results can also contribute to domain knowledge repository