A New Way of Automatic Design of Software (Simulating Human Intentional Activity)

Authors:
Zenya Koono;Hassan Abolhassani;Hui Chen
Affiliations:
Creation Project, Kanagawa, Japan;Computer Engineering Dept., Sharif University of Technology, Teheran, Iran;Information Science Center, Kokushikann University, Tokyo, Japan
Venue:
Proceedings of the 2006 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fifth SoMeT_06
Year:
2006

Citing 4
Cited 3

Japan's software factories: a challenge to U.S. management

Japan's software factories: a challenge to U.S. management
Knowledge Representation and Reasoning in a Software Synthesis Architecture

IEEE Transactions on Software Engineering - Special issue on knowledge representation and reasoning in software development
Composite Structure Design

Composite Structure Design
Principles of Program Design

Principles of Program Design

An Introduction to the Quantitative, Rational and Scientific Process of Software Development (Part 1)

Proceedings of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07
An Introduction to the Quantitative, Rational and Scientific Process of Software Development (Part 2)

Proceedings of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07
Development of a Commercial Product Including Software

Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper reports on a new method of automatic design. It is a simulation of “human intentional activity,” appearing in management, business, various designs and physical work. It is achieved by repetitive hierarchical decomposition of human concepts using (mainly) natural language expressions. Three typical ways (skill, rule and knowledge based) to create the hierarchical decomposition have been implemented and evaluated quantitatively as a CASE tool. The rule-level operation achieves nearly 100% automatic detailing.