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Readings in artificial intelligence and software engineering

Author: Charles Rich; Richard C Waters
Publisher: Los Altos, Calif. : M. Kaufmann Publishers, ©1986.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Readings in artificial intelligence and software engineering.
Los Altos, Calif. : M. Kaufmann Publishers, ©1986
(DLC) 86018627
(OCoLC)13904623
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Charles Rich; Richard C Waters
ISBN: 9780934613125 0934613125
OCLC Number: 562932409
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (xxi, 602 pages) : illustrations
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: Acknowledgments Introduction I. Deductive Synthesis 1. A Deductive Approach to Program Synthesis, by Z. Manna and R. Waldinger 2. Top-Down Synthesis of Divide-and-Conquer Algorithms, by D. Smith II. Program Verification 3. Mechanical Proofs About Computer Programs, by D. Good 4. Proof Checking the RSA Public Key Encrytion Algorithm, by R. Boyer and J.S. Moore III. Transformational Approaches 5. An Experimental Program Transformation and Synthesis System, by J. Darlington 6. Program Development as a Formal Activity, by M. Broy and P. Pepper 7. An Experiment in Knowledge-Based Automatic Programming, by D. Barstow 8. On the Efficient Synthesis of Efficient Programs, by E. Kant 9. Reusability Through Program Transformations, by T. Cheatham 10. Program Developments: Formal Explanations of Implementations, by D. Wile IV. Natural Language Specifications 11. Automatic Programming Through Natural Language Dialogue: A Survey, by G. Heidorn 12. Protosystem 1: An Automatic Programming System Prototype, by G. Ruth 13. Informality in Program Specifications, by R. Balzer, N. Goldman and D. Wile V. Very High Level Languages 14. An Automatic Technique for Selection of Data Representations in SETL Programs, by E. Schonberg, J. Schwartz and M. Sharir 15. Automating the Selection of Implementation Structures, by L. Rowe and F. Tonge 16. Knowledge-Based Programming Self Applied, by C. Green and S. Westford 17. Implementing Specification Freedoms, by P. London and M. Feather VI. Programming by Example 18. A Methodology for LISP Program Construction from Examples, by P. Summers 19. Programming by Examples, by M. Bauer VII. Intelligent Assistants 20. Toward Interactive Design of Correct Programs, by R. Floyd 21. A Designer/Verifier's Assistant, by M. Moriconi 22. The Programmer's Apprentice: A Session with KBEmacs, by R. Waters 23. Report on a Knowledge-Based Software Assistant, by C. Green, D. Luckham, R. Balzer, T. Cheatham and C. Rich VIII. Programming Tutors 24. Intelligent Program Analysis, by G. Ruth 25. PROUST: Knowledge-Based Software Assistant, by C. Green, D. Luckham, R. Balzer, T. Cheatham and C. Rich IX. Programming Knowledge 26. On Program Synthesis Knowledge, by C. Green and D. Barstow 27. Program Abstraction and Instantiation, by N. Dershowitz 28. A Formal Representation for Plans in the Programmer's Apprentice, by C. Rich 29. Empirical Studies of Programming Knowledge, by E. Soloway and K. Ehrlich X. Domain Knowledge 30. The Draco Approach to Contructing Software from Reusable Components, by J. Neighbors 31. A perspective on Automatic Programming, by D. Barstow 32. Knowledge Representations as the Basis for Requirements Specifications, by A. Borgida, S. Greenspan and J. Mylopoulos XI. Aritificial Intelligence Programming 33. Power Tools for Programmers, by B. Sheil 34. Perspectives On Artificial Intelligence Programming, by D. Bobrow and M. Stefik Bibliography Index
Responsibility: edited by Charles Rich and Richard C. Waters.

Abstract:

For AI, programming is a domain that stimulates fundamental research in knowledge representation and automated reasoning. This volume collects thirty-four important papers covering a wide spectrum of  Read more...

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