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Published Articles >> Table of Contents >> Abstract
January/February 2007 (Vol. 24, No. 1)
pp. 65-72
A Quantitative Approach to Software Development Using IEEE 982.1
Norman Schneidewind, Naval Postgraduate School
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2007.1
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| Abstract |
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Although software's complexity and scope have increased tremendously over the past few decades, advances in software engineering techniques have been only moderate at best. Software measurement has remained primarily a labor-intensive effort and thus subject to human limitations. The Space Shuttle's avionics software is an excellent example of how applying standards such as IEEE 982.1 can help alleviate human limitations by providing a quantitative roadmap to answer key questions.
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 References
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[1] B. Hailpern and P. Santhanam, "Software Debugging, Testing, and Verification," IBM Systems J., vol. 41, no. 1, 2002.
[2] IEEE P1633\AIAA Draft 5, Draft Standard for Software Reliability Prediction, IEEE Press, 2006.
[3] IEEE Std. 982.1-1988, IEEE Standard Dictionary of Measures to Produce Reliable Software, IEEE Press, 1988.
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[1] IEEE Std. 982.1-2005, IEEE Standard Dictionary of Measures of the Software Aspects of Dependability, IEEE Press, 2006.
[2] M.R. Lyu, ed., Handbook of Software Reliability Engineering, IEEE CS Press and McGraw-Hill, 1996.
[3] T. Keller and N.F. Schneidewind, "Successful Application of Software Reliability Engineering for the NASA Space Shuttle," Proc. 8th Int'l Symp. Software Reliability Eng.- Case Studies, IEEE CS Press, 1997, pp. 71–82.
[4] CASRE 3.0, Computer-Aided Software, Version 3, Open Channel Foundation, 2000; www.openchannelfoundation.org/ projects/CASRE_3.0.
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 Additional Information
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Index Terms- software dependability standard, quantitative approach to software measurement, IEEE 982.1, Software Reliability Engineering
Citation:
Norman Schneidewind,
"A Quantitative Approach to Software Development Using IEEE 982.1,"
IEEE Software,
vol. 24,
no. 1,
pp. 65-72,
Jan/Feb,
2007
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