Readings in artificial intelligence and software engineering

Author(s)

• Rich, Charles
• Waters, Richard C.

Bibliographic Information

Readings in artificial intelligence and software engineering

edited by Charles Rich and Richard C. Waters

M. Kaufmann, c1986

Note

Bibliography: p. 589-599

Includes index

Description and Table of Contents

Description

Research at the intersection of artificial intelligence and software engineering is important to both AI researchers and software engineers. For AI, programming is a challenging domain that stimulates fundamental research in knowledge representation and automated reasoning. In software engineering, AI techniques can be applied to programming tools with potential for dramatic improvements in programmer productivity. This volume, edited by two research scientists at the Artificial Intelligence Laboratory of MIT, collects thirty-four important papers covering a wide spectrum of work in this area. Major topics include automatic programming, theorem-proving approaches, transformational approaches, specification techniques, intelligent assistants, knowledge representation, and artificial intelligence programming. The editors have provided an introductory survey of the field and issues, introductions to each group of papers, and an extensive bibliography.

Table of 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

by "Nielsen BookData"

Details

• NCID: BA00654656
• ISBN:
  • 0934613125
• LCCN: 86018627
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Los Altos, Calif.
• Pages/Volumes: xxi, 602 p.
• Size: 28 cm
• Classification:
  • LCC : Q336
  • DC19 : 006.3
• Subject Headings:
  • LCSH : Artificial intelligence -- Data processing
  • LCSH : Electronic digital computers -- Programming
  • LCSH : Programming languages (Electronic computers)