DocumentCode
1362937
Title
Statistical process control: analyzing space shuttle onboard software process
Author
Florac, William A. ; Carleton, Anita D. ; Barnard, Julie R.
Author_Institution
Software Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
17
Issue
4
fYear
2000
Firstpage
97
Lastpage
106
Abstract
Demand for increased software process efficiency and effectiveness places measurement demands on the software engineering community beyond those traditionally practiced. Statistical- and process-thinking principles lead to the use of statistical process control (SPC) methods to determine the consistency and capability of the processes used to develop software. The authors use data and analysis from a collaborative effort between the Software Engineering Institute (a federally funded research and development center sponsored by the US Department of Defense) and the Space Shuttle Onboard Software Project as a vehicle to illustrate the analytic processes analysts frequently encounter when using SPC
Keywords
aerospace computing; software development management; software process improvement; space vehicles; statistical process control; SPC; Software Engineering Institute; Space Shuttle Onboard Software Project; analytic processes; collaborative effort; measurement demands; process-thinking principles; software engineering community; software process efficiency; space shuttle onboard software process; statistical process control; Control charts; Engineering management; Process control; Software development management; Software engineering; Software measurement; Software performance; Space shuttles; Stability; Time measurement;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/52.854075
Filename
854075
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