DocumentCode :
1887981
Title :
A Reliable and Robust Methodology for Testing Measurement Software
Author :
Betta, Giovanni ; Capriglione, Domenico ; Pietrosanto, Antonio ; Sommella, Paolo
Author_Institution :
DAEIMI, Cassino UNiv.
fYear :
2006
fDate :
24-27 April 2006
Firstpage :
2101
Lastpage :
2106
Abstract :
The paper deals with an original methodology for functional verification of measurement software. Starting from a previously defined procedure able to generate test cases reproducing the actual correlations among the software inputs, the authors introduce suitable refinements to improve the methodology performance. To this aim, innovative statistical techniques are investigated and integrated in the procedure for providing more accurate estimations of the Spearman coefficients. The effects of the novel steps are evaluated by applying the procedure to a complex software module employed in an automotive system
Keywords :
automotive engineering; program testing; program verification; software metrics; statistical analysis; Spearman coefficient estimation; automotive system; functional verification; instrument software; measurement software testing; reliable methodology; robust methodology; software engineering; statistical techniques; Automotive engineering; Computer industry; IEEE members; Instrumentation and measurement; Robustness; Software engineering; Software measurement; Software performance; Software testing; System testing; Instrument Software; Reliability; Robustness; Software engineering; Test methodology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
ISSN :
1091-5281
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
Type :
conf
DOI :
10.1109/IMTC.2006.328465
Filename :
4124728
Link To Document :
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