DocumentCode :
2100549
Title :
Design reliability-estimation through statistical analysis of bug discovery data
Author :
Malka, Yossi ; Ziv, Avi
Author_Institution :
MATAM, IBM Res. Lab., Haifa, Israel
fYear :
1998
fDate :
19-19 June 1998
Firstpage :
644
Lastpage :
649
Abstract :
Statistical analysis of bug discovery data is used in the software industry to check the quality of the testing process and estimate the reliability of the tested program. In this paper, we show that the same techniques are applicable to hardware design verification. We performed a study on two implementations of state-of-the-art PowerPC processors that shows that these techniques can provide quality information on the progress of verification and good predictions of the number of bugs left in the design and the future MTTF.
Keywords :
formal verification; software reliability; bug discovery data; design reliability; reliability; software industry; statistical analysis; verification; Automatic programming; Computational modeling; Computer bugs; Costs; Hardware; Investments; Permission; Process design; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 1998. Proceedings
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-89791-964-5
Type :
conf
Filename :
724550
Link To Document :
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