Integration Toolkit and Methods (ITKM) Corporate Data Integration Tools (CDIT). Review of the State-of-the-Art with Respect to Integration Toolkits and Methods (ITKM)

Abstract

Documented are the results of a study performed of the state-of-the- art with respect to systems analysis and modeling methods and tools which aid in the integration of distributed corporate resources. One major source of data regarding the state-of-the-art was a survey conducted of industry, tool developer/vendors and academia. The survey and other data sources are described in this document. The scope of state-of-the-art assessment activities under this ITKM project was focused on tools and methods to support enterprise analysis and modeling, particularly in the context of enterprise information integration. Given that breadth of context, as well as the tendency towards increasingly blurred boundaries among the various information technologies utilized for enterprise integration, some of the data in this document relates to areas outside the traditional realm of enterprise analysis and modeling methods and tools. For example, broader methods and tools such as: information frameworks and architectures; repository/data dictionary technologies; Computer-Aided Software Engineering (CASE) tools; re-engineering methods and tools, including those for integration, access and migration of legacy databases; and systems development life-cycle methodologies were also included in the study, at least to some degree.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA255547

Entities

People

  • Anthony K. Sarris

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Cognitive Science
  • Computer Program Documentation
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Information Science
  • Information Systems
  • Linguistics
  • Ontologies
  • Organizational Structure
  • Relational Database Management Systems
  • Software Development
  • Systems Engineering
  • Two Dimensional

Fields of Study

  • Computer science
  • Engineering

Readers

  • Materials Science and Engineering.
  • Software Engineering.
  • Systems Analysis and Design