Modular Reconfigurable Architecture For Tailored Rapid Systems Engineering Artifact Generation And Dissemination


Principal Investigator:  Staś Tarchalski,  Stevens Institute of Technology (stas.tarchalski@stevens.edu)

Timeframe:  September 2009 to September 2010

Category:  Systems Engineering and Systems Management Transformation


Description

Objectives: As projects become increasingly complex, the need for good systems engineering is paramount. Part of systems engineering is documentation of past events, current activities, and future plans of software, hardware, and technical management. Documentation of the programs technical plans can require significant effort to keep current and to keep the content synchronized in an environment where change is constant. Add to this issue the fact that many documents have overlapping information and you have additional complications. This often results in the documents becoming obsolete relative to fast moving development activities and can create inconsistencies across the project. The objective of this research is to investigate the ability to align systems engineering (SE) documents such that the program documents track and complement one another, are easier to produce and update, support agile environments, and move towards a data centric rather than document centric focus.

Approach: The documents that were evaluated for this task were the SE Plan (SEP), Test and Evaluation Master Plan (TEMP), and the Information Support Plan (ISP). The tool utilized to assist in this research work was the Systems Engineering Toolkit (SET) developed by the Rotorcraft Systems Engineering and Simulation Center (RSESC) at the University of Alabama in Huntsville.

Significant Research Findings & Products: The research showed that using a data-centric modular database for creating program documentation is feasible and could be beneficial. Evidence was found that there are dependencies and correlations between the three documents. The automated mapping function, database capabilities, statistical and data collection methods designed within the SET tool allow both role based and document based planning. It also provides both a test bed environment and implementation tool for users.

Deliverables

Publications

Publications:  none to date

Research Team

Researchers

  • Staś Tarchalski,  Stevens Institute of Technology
  • Sue O’Brien, University of Alabama in Huntsville
  • Dawn Sabados, University of Alabama in Huntsville
  • Dr. Julie Fortune, University of Alabama in Huntsville
  • Phillip Alldredge, University of Alabama in Huntsville
  • Lance Warden, University of Alabama in Huntsville

Collaborating Institutions

Project Researchers