Intelligent Assistance for Program Recognition, Design, Optimization, and Debugging

Abstract

The authors describe research in four related areas, based on the following theoretical principles: The assistant approach (incremental automation) and the exploitation of cliches' (using knowledge of common engineering practice). Each investigation involves the construction of a prototype system to provide intelligent assistance for a person performing the task: A recognition assistant will help reconstruct the design of a program, given only its source code. A design assistant will assist a programmer by detecting errors and inconsistencies in his design choices and by automatically making many straightforward implementation decisions. An optimization assistant will help improve the performance of programs by identifying intermediate results that can be reused. A debugging assistant will aid in the detection, localization, and repair of errors in designs as well as completed programs. These prototypes will be constructed using two shared technologies: A programming language independent formal representation for programs and programming knowledge (the Plan Calculus) and an automated reasoning system (CAKE), which supports both general logical reasoning and special-purpose decision procedures.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA206698

Entities

People

  • Charles Rich
  • Richard C. Waters

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Automatic Programming
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Debugging
  • Device Drivers
  • Engineering
  • Programming Languages
  • Recognition
  • Software Development
  • Software Development Tools
  • Software Testing
  • Standards

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Science.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.