Artificial Intelligence and Software Engineering
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Artificial Intelligence and Software Engineering

Artificial Intelligence and Software Engineering

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About the Book

This volume is a broad-based collection of chapters that address the areas of overlap between the fields of artificial intelligence (AI) and software engineering. A taxonomy of this overlap area is developed and related to other major attempts to address the interaction between these two fields. Each of the four major subareas-AI-based support environments, software engineering toolds and techniques, methodological issues of AI software development, and AI techniques in practical software is described and illustrated with representative examples.

Table of Contents:
Artificial Intelligence & Software Engineering: An Introduction to the Possibilities, Derek Partridge  Part I AI-based Support Environments  1 Knowledge-based Software Design Support, Helen Sharp  2 Automating Software Specification and Design, Mehdi T. Lubars & Mitchell D. Harandi 43 3 Knowledge-based Model for Software Re-usability, Charles Rattray, Jean Mcinnes, Andrew Reeves, & Muffy Thomas 4 Understanding and Automating Algorithm Design, Elaine Kant  5 A Cognitive Approach to Software Development: The PRODOC Environment and Associated Methodology, Joseph M. Scandura  6 AI-based Software Maintenance, Lori Alperin Resnick & Beverly I. Kedzierski 7 The Programmer's Apprentice: A Research Overview, Charles Rich & Richard C. Waters 8 Integrating Access-Oriented Programming into a Multiparadigm Environment, Mark J. Stefik, Daniel G. Bobrow, & Kenneth M. Kahn Part II Software Engineering Tools and Techniques in AI Systems  9 POPLOG-A Portable Interactive Software Development Environment, Aaron Sloman and the Poplog Development Team  10 Applying Software Engineering Concepts to Rule-Based Expert Systems, Bob Jansen 11 Utilizing Formal Specifications in the Development of Knowledge-Based Systems, R. T. Plant 1.2 The Role of Visual Representations in Understanding Software, Heinz-Dieter Bocker, Gehard Fischer, & Helga Nieper-Lemke 13 AORTA Diagrams as an Aid to Visualizing the Execution of PROLOG Programs, Marc Eisenstadt & Mike Brayshaw  Part III Methodological Issues of AI-Software Development  14 Beyond Programming Languages, Terry Winograd  15 AI and Software Engineering, Robert Kowalski 16 Definition and Logic: Learning from the Failure of AI, Philip Leith  17 Engineering Artificial Intelligence Applications in Unstructured Task Environments: Some Methodological Issues, Chris Fields & Eric Dietrich 18 Practical Engineering of Knowledge-Based Systems, Jon Bader, John Edwards, Chris Harris-Jones, & David Hannaford  19 Beyond Exploratory Programming: A Methodology and Environment for Conceptual Natural Language Processing, Philip Johnson & Wendy Lehnert  Part IV AI Techniques in Practical Software  20 A Framework for Incremental Progress in the Application of Artificial Intelligence to Software Engineering, Guillermo Arango, Ira Baxter, & Peter Freeman  21 Principles and Practice in an Operating System Consultant, Paul Mc Kevitt 22 AI as the Ultimate Enhancer of Protocol Design, Danny Cohen & J. Finnegan 23 Induction, Knowledge, and Expert Systems, J. R. Quinlan 24 Knowledge Acquisition by Encoding Expert Rules versus Computer Induction from Examples: A Case Study Involving Soybean Pathology, R. S. Michalski & R. L. Chilausky  25 Interactive Vocabulary Acquisition in XTRA, Cheng-Ming Guo 26 A Proposed Perspective Shift: Viewing Specification Design as a Planning Problem, Stephen Fickas & John S. Anderson  Author Index  Subject Index


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Product Details
  • ISBN-13: 9780893916060
  • Publisher: Intellect
  • Binding: Hardback
  • No of Pages: 200
  • ISBN-10: 0893916064
  • Publisher Date: 01 May 1991
  • Language: English
  • Returnable: Y


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