Exploring the DoD Software Factbook
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The Carnegie Mellon Software Engineering Institute (SEI) conducted an analysis of software engineering data owned and maintained by the Department of Defense (DoD) to produce high-level, DoD-wide heuristics and domain-specific benchmark data. This work yielded basic facts about software projects, such as averages, ranges, and heuristics for requirements, size, effort, and duration. Factual, quantitatively-derived statements were reported to provide users with easily digestible benchmarks. Findings were also presented by system type, or super domain. The analysis in this area focused on identifying the most and least expensive projects and the best and worst projects within three super domains: real time, engineering, and automated information systems. It also provided insight into the differences between system domains and contained domain-specific heuristics. Finally, correlations were explored among requirements, size, duration, and effort and the strongest models for predicting change were described. The goal of this work was to determine how well the data could be used to answer common questions related to planning or replanning software projects. The paper provides a high-level overview of the SEI's research and primary findings.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
NPS Report NumberSYM-AM-18-137
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Miller, Christopher; Shull, Forrest; Zubrow, David (Monterey, California. Naval Postgraduate School, 2018-04-30); SYM-AM-18-058The Carnegie Mellon Software Engineering Institute (SEI) conducted an analysis of software engineering data owned and maintained by the Department of Defense (DoD) to produce high-level, DoD-wide heuristics and domain-specific ...
Sams, Bradley J. (Monterey, California. Naval Postgraduate School, 2011-08-29); NPS-CE-11-160Throughout software''s lifetime, changes are introduced to the code in order to maintain the desired performance. These changes often create side effects, which cause other cascading effects elsewhere in the software or ...
Turner, Richard; Madachy, Ray; Lane, Jo Ann; Ingold, Dan; Levine, Laurence (SERC, 2013-03-06); SERC-2013-TR-022-2This is the 2nd of two reports that were created for research on this topic funded through SERC. The first report, SERC-TR-032-1 dated March 13, 2012, constituted the 2011-2012 Annual Technical Report and the Final Technical ...