Mechanized Contract Document Preparation and Abstract System,

Abstract

We have developed a system that revolutionizes contract document preparation by taking advantage of state-of-the-art technology in combining the functions of word processing (WP) and data processing (DP). This system has been proven effective in reducing document preparation time, in producing a better quality document, and reducing document errors. The system simultaneously captures data to be abstracted and fed into a Management Information System (MIS) ensuring that the contract document and abstracted data in the MIS are identical. Since contract documents are mostly text, the WP capability was most important, yet the abstract of specific information could not be accurately and efficiently captured in WP mode. To streamline the data capture portion of the system for abstracting, DP was needed. Finally, to produce a finished product containing both the text and abstracted data, WP and DP had to be efficiently integrated. Through complex software development, we supplemented the vendor software development, we supplemented the vendor software to build a successful prototype system that is undergoing acceptance testing. The system is still in its infancy, but it has taken great strides in increasing the efficiency of contractual document preparation and abstracting. Yet to come is distributed processing of edit and validation routines currently being accomplished on the mainframe computer. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADP002750

Entities

People

  • T. L. Bono

Organizations

  • Air Force Systems Command

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Computer Programming
  • Computers
  • Contracts
  • Data Processing
  • Information Processing
  • Information Systems
  • Mainframe Computers
  • Management Information Systems
  • Procurement
  • Software Development

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design