AN APPROACH FOR AUTOMATING DESIGN OF WEB, ITS METRICS & KNOWLEDGE-BASE

Abstract

In view of the fact that web applications are significantly large, complex, highly dynamic & critical software systems, it is desirable that processes of web design and development be systematic & be automated as far as possible. The task of automating an engineering activity is quite complex because it involves two types of contrasting intelligences: (i) Human intelligence which is rooted in informal expression, judgmental evaluation, inductive reasoning and commonsense, and (ii) The machine intelligence which is essentially based on formal expression, formal rule-based evaluation & deductive reasoning etc. Human intelligence is required for understanding the problem domains & their environments, and then for using the understanding for designing & developing solutions in such a form that it is understood and executed by the contrasting intelligence, viz. the machine intelligence.
The proposed approach takes care of the facts of human capabilities being rooted in informality & of machine capabilities being purely formal. For this purpose, solutions conceived by human experts—which are generally expressed in some natural language—are, first of all, translated to semi-formal mathematical entities: recursive lists. These recursive lists then are easily translated to fully formal entities in some functional programming language like LISP or Haskell. In this communication, the approach is applied to structural aspects of web and is explained through sufficient exemplars. The dynamics of web will be discussed subsequently.