Software Engineering Institute | Carnegie Mellon University
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Technical Note

Measuring Systems Interoperability: Challenges and Opportunities

  • Abstract

    Despite laudable case-by-case efforts, there is today no method for tracking interoperability on a comprehensive or systematic basis. This technical note presents best practices for measuring systems interoperability and assisting military planners in the acquisition, development, and implementation of command, control, communications, computers, and intelligence (C4I) systems that are interoperable. The Levels of Systems Interoperability (LISI) Model, although immature, provides a structured and systematic approach for assessing and measuring interoperability throughout the systems life cycle. In addition to exploring the many complex issues surrounding the state of interoperability for military applications, next steps for promoting a deeper understanding of interoperability and recommended measures that will promote systems interoperability are presented.

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Cite This Report

SEI

Kasunic, Mark; & Anderson, William. Measuring Systems Interoperability: Challenges and Opportunities (CMU/SEI-2004-TN-003). Software Engineering Institute, Carnegie Mellon University, 2004. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=6871

IEEE

Kasunic. Mark, and Anderson. William, "Measuring Systems Interoperability: Challenges and Opportunities," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Note CMU/SEI-2004-TN-003, 2004. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=6871

APA

Kasunic, Mark., & Anderson, William. (2004). Measuring Systems Interoperability: Challenges and Opportunities (CMU/SEI-2004-TN-003). Retrieved December 20, 2014, from the Software Engineering Institute, Carnegie Mellon University website: http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=6871

CHI

Mark Kasunic, & William Anderson. Measuring Systems Interoperability: Challenges and Opportunities (CMU/SEI-2004-TN-003). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2004. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=6871

MLA

Kasunic, Mark., & Anderson, William. 2004. Measuring Systems Interoperability: Challenges and Opportunities (Technical Report CMU/SEI-2004-TN-003). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=6871