Autosate

  • Authors:
  • O. T. Gatto

  • Affiliations:
  • The RAND Corporation, Santa Monica, CA

  • Venue:
  • Communications of the ACM
  • Year:
  • 1964

Quantified Score

Hi-index 48.24

Visualization

Abstract

An automated data system analysis technique is described. The technique is designed to alleviate some of the principal problems that beset current analysis—large data workloads, long span of time between project inception and system operational date, the lack of explicit directions for conducting data system analysis and using the results, and the lack of a technique to control data system changes throughout its lifetime. The analysis is geared to determining workload, relationships and storage characteristics of documents in the information network automatically.