Evolutionary Web Development examines the evolution of Web information systems, paying particular attention to the emergent attributes of electronic markets. It identifies four categories of architecture and demonstrates their virtues and limitations: static, interactive, adaptive, and agent-mediated systems.
Advanced systems require the developer to truly understand the needs and preferences of customers. As well as such personal attributes, the availability of empirical data about the structure and content of Web information systems is a precondition for their effective assessment. Arno Scharl presents an automated and scalable approach to Web assessment. He emphasizes the role of feedback in an iterative cycle of design, implementation, usage, and analysis.

Evolutionary Web Development examines the evolution of Web information systems, paying particular attention to the emergent attributes of electronic markets. It identifies four categories of architecture and demonstrates their virtues and limitations: static, interactive, adaptive, and agent-mediated systems.
Advanced systems require the developer to truly understand the needs and preferences of customers. As well as such personal attributes, the availability of empirical data about the structure and content of Web information systems is a precondition for their effective assessment. Arno Scharl presents an automated and scalable approach to Web assessment. He emphasizes the role of feedback in an iterative cycle of design, implementation, usage, and analysis.

Evolutionary Web Development examines the evolution of Web information systems, paying particular attention to the emergent attributes of electronic markets. It identifies four categories of architecture and demonstrates their virtues and limitations: static, interactive, adaptive, and agent-mediated systems.
Advanced systems require the developer to truly understand the needs and preferences of customers. As well as such personal attributes, the availability of empirical data about the structure and content of Web information systems is a precondition for their effective assessment. Arno Scharl presents an automated and scalable approach to Web assessment. He emphasizes the role of feedback in an iterative cycle of design, implementation, usage, and analysis.