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