Statistically based estimate of embedded software execution...

Data processing: software development – installation – and managem – Software program development tool – Testing or debugging

Reexamination Certificate

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C717S154000

Reexamination Certificate

active

07007270

ABSTRACT:
A statistical approach to estimating software execution times is implemented by preparing a model of a target processing device, correlating the software to be estimated to benchmark programs used in the preparation of the model, and then applying the software to be estimated to the model. The model is developed by determining the actual execution times of the benchmark programs, determining a number of virtual instructions in the benchmark programs and determining a predictor equation that correlates the virtual instructions to the actual execution time. The predictor equation is determined by a linear regression technique that includes a correlation analysis of the virtual instructions, removal of highly correlated instructions, and a combination of stepwise linear regression and multiple linear regression to determine the predictor equation.

REFERENCES:
patent: 5270935 (1993-12-01), Dudek et al.
patent: 5590323 (1996-12-01), Kartalopoulos
patent: 5696942 (1997-12-01), Palnitkar et al.
patent: 5761477 (1998-06-01), Wahbe et al.
patent: 5790425 (1998-08-01), Wagle
patent: 5801975 (1998-09-01), Thayer et al.
patent: 5809450 (1998-09-01), Chrysos et al.
patent: 5966537 (1999-10-01), Ravichandran
patent: 6026237 (2000-02-01), Berry et al.
patent: 6118940 (2000-09-01), Alexander et al.
patent: 6151618 (2000-11-01), Wahbe et al.
patent: 6189141 (2001-02-01), Benitez et al.
patent: 6286046 (2001-09-01), Bryant
patent: 6317727 (2001-11-01), May
patent: 6381558 (2002-04-01), Berry et al.
patent: 6421653 (2002-07-01), May
patent: 6457023 (2002-09-01), Pinter et al.
patent: 6463457 (2002-10-01), Armentrout et al.
patent: 6507946 (2003-01-01), Alexander et al.
patent: 6609084 (2003-08-01), Midde Peddanna
patent: 6618737 (2003-09-01), Aridor et al.
patent: 6662358 (2003-12-01), Berry et al.
patent: 6732357 (2004-05-01), Berry et al.
“Capacity Planning For Web Performance Metrics and Models”, Daniel A. Menasce et al, published 1998, pp. 1-319.
Capacity Planning And Performance Modeling From Mainframes to ClientServer Systems, Daniel A Menasce et al, Prentice Hall PTR, Englewood Cliffs, New Jersey, 1994, Chapters 1-12, Appendices A-D and index.
Make Java Fast: Optimize!, Doug Bell, Apr. 1997, JAVAWORLD, http://www.javaworld.com/javaworld/jw-04-1997/jw-04-optimize—p.html, 17 pages.
SPEC Releases SPECjvm98, First Industry-Standard Benchmark for Measuring Java Virtual Machine Perfromance, Aug. 19, 1998, http:/www.spec.org/jvm98/press.html Standard Performance Evaluation Corporation, 67 pages.
“Analysis and Development of JAVA Grande Benchmarks”, J.A. Mathew, et al, University of Adelaide Australia, 1999, 9 pages.
IEEE Dictionary, published 2000, p. 96.
The Benchmark Book, Rich Grace, 1996, non blank pp. 1-313.
“Tuning Java Performance”, Paul Tyma, Dr. Dobbs, Apr. 1996, pp. 1-8.
ACE Associated Computer Experts (2001), “Table of Contents,” http://www.ace.nl/cont.htm, 2 pages no content.
EMBC (2001), http://www.eembc.ort, 1 page cover sheet no content.
Estrel Web (2001), Esterel Synchronous Language Web Main page, http://www.esterel.org, 3 pages.

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