Identification, Characterization, and Evaluation Criteria for Systems Engineering Agile Enablers

Abstract

The purpose of the SE Agile Enablers project is to identify, describe, and evaluate possible methods, practices or tools (enablers) that could improve the ability of systems engineering to adapt to changing development environments. In order to efficiently make use of scarce research resources, RT-124 has established a triage process for identifying and then rapidly evaluating the probability of effectiveness of candidate enablers as they are identified. In the SE community, it is important for systems to be agile and rapidly and effectively adapt to sudden changes in the environment. Process agility provides systems engineers with the methods, processes and tools necessary to operate more effectively in development environments driven by change. The ability to rapidly adapt is necessary while working with an increasing rate of technology advancement, an increasing need for interoperability between legacy and new capabilities, evolving requirements throughout the development lifecycle, and the changing economic and political factors that undergird and enable system development. The ultimate result of the process is an evaluation white paper identifying likelihood of efficacy, areas for research, and transition recommendations. After each execution of the process, a reflection activity will be held to identify strengths and weaknesses of the process and to identify and make appropriate improvements.

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Document Details

Document Type
Technical Report
Publication Date
Jan 16, 2015
Accession Number
ADA626782

Entities

People

  • Joshua Bloom
  • Keith Barlow
  • Richard Ens
  • Richard Turner
  • Yi Yang

Organizations

  • Stevens Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Best Practices
  • Communities
  • Community Of Practice
  • Contracts
  • Department Of Defense
  • Engineering
  • Engineers
  • Environment
  • Identification
  • Knowledge Management
  • Model Based Systems Engineering
  • Social Media
  • Software Development
  • Systems Engineering
  • Test And Evaluation
  • Transitions
  • United States

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Software Engineering.
  • Systems Analysis and Design